2009
Boyd, Jeffrey E; Hushlak, Gerald; Jacob, Christian
Video Interaction for Swarm Art Proceedings Article
In: MAST 2009: The Future of Interactive Media: Workshop on Media Arts, Science, and Technology, Santa Barbara, CA, 2009.
BibTeX | Tags:
@inproceedings{boydvideo,
title = {Video Interaction for Swarm Art},
author = {Jeffrey E Boyd and Gerald Hushlak and Christian Jacob},
year = {2009},
date = {2009-01-01},
urldate = {2009-01-01},
booktitle = {MAST 2009: The Future of Interactive Media: Workshop on Media Arts, Science, and Technology},
address = {Santa Barbara, CA},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Moniz, Ryan D; Jacob, Christian
Fractal evolver: Interactive evolutionary design of fractals with grid computing Proceedings Article
In: Workshops on Applications of Evolutionary Computation, pp. 442–451, Springer 2009.
Abstract | Links | BibTeX | Tags:
@inproceedings{moniz2009fractal,
title = {Fractal evolver: Interactive evolutionary design of fractals with grid computing},
author = {Ryan D Moniz and Christian Jacob},
doi = {10.1007/978-3-642-01129-0_50},
year = {2009},
date = {2009-01-01},
urldate = {2009-01-01},
booktitle = {Workshops on Applications of Evolutionary Computation},
pages = {442--451},
organization = {Springer},
abstract = {Interactive Evolutionary Computing is a powerful methodology that can be incorporated into the creative design process. However, for such a system to be useful, the evolutionary process should be simple to understand and easy to operate. This is especially true in applications where it is difficult to create a mathematical formula or model of the fitness evaluation, or where the quality of the solution is subjective and dependent on aesthetics, such as in the areas of art and music. Our paper explores this idea further by presenting a system that evolves fractal patterns using an interactive evolutionary design process. The result is a tool, Fractal Evolver, that employs grid computing and swarm intelligence concepts through particle swarm optimization to evolve fractal designs.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Khemka, Namrata; Jacob, Christian
VISPLORE: a toolkit to explore particle swarms by visual inspection Proceedings Article
In: Proceedings of the 11th Annual conference on Genetic and evolutionary computation, pp. 41–48, ACM 2009.
@inproceedings{khemka2009visplore,
title = {VISPLORE: a toolkit to explore particle swarms by visual inspection},
author = {Namrata Khemka and Christian Jacob},
doi = {10.1145/1569901.1569908},
year = {2009},
date = {2009-01-01},
urldate = {2009-01-01},
booktitle = {Proceedings of the 11th Annual conference on Genetic and evolutionary computation},
pages = {41--48},
organization = {ACM},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
von Mammen, Sebastian; Jacob, Christian
The evolution of swarm grammars-growing trees, crafting art, and bottom-up design Journal Article
In: IEEE Computational Intelligence Magazine, vol. 4, no. 3, 2009.
Abstract | Links | BibTeX | Tags:
@article{von2009evolution,
title = {The evolution of swarm grammars-growing trees, crafting art, and bottom-up design},
author = {Sebastian von Mammen and Christian Jacob},
doi = {10.1109/mci.2009.933096},
year = {2009},
date = {2009-01-01},
urldate = {2009-01-01},
journal = {IEEE Computational Intelligence Magazine},
volume = {4},
number = {3},
publisher = {IEEE},
abstract = {We presented swarm grammars as an extension of Lindenmayer systems. Instead of applying a single ('turtle') agent to convert linear strings into 3D structures, we use a swarm of agents "which navigate in 3D space and-as a side effect-place structural building blocks into their environment. The swarm grammars are used to specify how the setup of agent types changes over time. Additional agent parameters determine the agents' behaviors and their interaction dynamics. Both the grammar rules and the agent parameters are evolvable and can change over time-either automatically at replication and collision events among the agents, or triggered by external 'tinkering' from a supervising breeder. When swarm grammars are applied to concrete problems, constraints on the developmental processes as "well as on the emerging structures may provide the basis for an automatic evolutionary algorithm.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
von Mammen, Sebastian; Novakowski, Scott; Hushlak, Gerald; Jacob, Christian
Evolutionary swarm design: How can swarm-based systems help to generate and evaluate designs Journal Article
In: DESIGN Principles & Practices: An International Journal, vol. 3, pp. 371–386, 2009.
Abstract | Links | BibTeX | Tags:
@article{von2009evolutionary,
title = {Evolutionary swarm design: How can swarm-based systems help to generate and evaluate designs},
author = {Sebastian von Mammen and Scott Novakowski and Gerald Hushlak and Christian Jacob},
doi = {10.18848/1833-1874/cgp/v03i03/37691},
year = {2009},
date = {2009-01-01},
urldate = {2009-01-01},
journal = {DESIGN Principles & Practices: An International Journal},
volume = {3},
pages = {371--386},
abstract = {We propose swarm computing as the central paradigm that can lead to new approaches towards design. Design is seen as an unfolding process, defined through mathematical rules and algorithms, instead of static descriptions of building blocks. We introduce s warm grammars as an algorithmic aid for design tasks, where we integrate bio-inspired computational developmental models with evolutionary breeding and utilization of emergent phenomena. Swarm grammars allow intuitive, graphical and universally applicable modeling of multi-agent systems. We present evolutionary breeding techniques as examples of how to direct automated or semi-automated development of design solutions. This approach utilizes the autonomy of swarm systems through their emerging interaction processes and dares the designer to surrender total control over the design process. The computational design world, in which the designer acts like a breeder, becomes a design partner, which encourages a vivid dialogue between the swarm design system and the human designer. We further argument, that despite proclamations of the “death of theory”, the focus of design is merely shifting towards framing the respective design challenges into formalized mathematical models. Evolving and unfolding processes are accessed through simple entry points; results are promoted or demoted through interactivity on a multitude of levels. We demonstrate our first steps in the direction of such a new approach for design and discuss its consequences and challenges.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Esmaeili, Afshin; Jacob, Christian
A multi-objective differential evolutionary approach toward more stable gene regulatory networks Journal Article
In: Biosystems, vol. 98, no. 3, pp. 127–136, 2009.
Abstract | Links | BibTeX | Tags:
@article{esmaeili2009multi,
title = {A multi-objective differential evolutionary approach toward more stable gene regulatory networks},
author = {Afshin Esmaeili and Christian Jacob},
doi = {10.1016/j.biosystems.2009.09.002},
year = {2009},
date = {2009-01-01},
urldate = {2009-01-01},
journal = {Biosystems},
volume = {98},
number = {3},
pages = {127--136},
publisher = {Elsevier},
abstract = {Models are of central importance in many scientific contexts. Mathematical and computational modeling of genetic regulatory networks promises to uncover the fundamental principles of living systems. Biological models, such as gene regulatory models, can help us better understand interactions among genes and how cells regulate their production of proteins and enzymes. One feature shared among living systems is their ability to cope with perturbations and remain stable, a property that is the result of evolutionary fine-tuning over many generations. In this study we use random Boolean networks (RBNs) as an abstract model of gene regulatory systems. By applying Differential Evolution (DE), an evolution-based optimization technique, we produce networks with increased stability. DE requires relatively few user-specified parameters, has fast convergence and does not rely on initial conditions to find the global minima within multi-dimensional search spaces.
The stability of networks is evaluated by taking parameters such as their network sensitivity, attractor cycle length and number of attractor basins into account. In this study we present an evolutionary approach to produce networks with specific properties (high stability) starting from chaotic regimes. From this chaotic regime and randomly generated classical RBNs with static input degree, our evolutionary approach is able to produce networks with homogenous Boolean functions and highly structured state spaces.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
The stability of networks is evaluated by taking parameters such as their network sensitivity, attractor cycle length and number of attractor basins into account. In this study we present an evolutionary approach to produce networks with specific properties (high stability) starting from chaotic regimes. From this chaotic regime and randomly generated classical RBNs with static input degree, our evolutionary approach is able to produce networks with homogenous Boolean functions and highly structured state spaces.
Khemka, Namrata; Hushlak, Gerald; Jacob, Christian
Interactive Evolutionary Evaluation through Spatial Partitioning of Fitness Zones Conference
evoINTERACTION 2009, 3rd European Workshop on Interactive Evolution and Humanised Computational Intelligence, 2009.
Abstract | Links | BibTeX | Tags:
@conference{DBLP:conf/evoW/KhemkaHJ09,
title = {Interactive Evolutionary Evaluation through Spatial Partitioning of Fitness Zones},
author = {Namrata Khemka and Gerald Hushlak and Christian Jacob},
doi = {10.1007/978-3-642-01129-0_49},
year = {2009},
date = {2009-01-01},
urldate = {2009-01-01},
booktitle = {evoINTERACTION 2009, 3rd European Workshop on Interactive Evolution and Humanised Computational Intelligence},
pages = {432-441},
abstract = {This paper discusses how large-scale interactive evolutionary design can be accomplished through innovative evaluation interfaces. An application example from the world of textile designing and fine arts serves to illustrate an evolutionary evaluation interface using spatial arrangements. The new interface allows the designer to drag and drop images that represent solutions into fitness zones on the screen. As our team consists of two computer scientists and an artist, we also explore the collaborative relationships among the team members, and between the artist and the evolutionary system.},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Kendon, Tyson; Chatfield-Reed, Kate; Jacob, Christian
Building with the beeoids: guided automatic construction using pheromones Conference
GECCO, 2009.
@conference{DBLP:conf/gecco/KendonCJ09,
title = {Building with the beeoids: guided automatic construction using pheromones},
author = {Tyson Kendon and Kate Chatfield-Reed and Christian Jacob},
doi = {10.1145/1569901.1570139},
year = {2009},
date = {2009-01-01},
urldate = {2009-01-01},
booktitle = {GECCO},
pages = {1747-1748},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
von Mammen, Sebastian; Jacob, Christian
Swarming for Games: Immersion in Complex Systems Conference
EvoGAMES: 1st European Workshop on Bio-inspired Algorithms in Games, EvoWorkshops, Springer Springer, T, 2009.
Abstract | Links | BibTeX | Tags:
@conference{DBLP:conf/evoW/MammenJ09,
title = {Swarming for Games: Immersion in Complex Systems},
author = {Sebastian von Mammen and Christian Jacob},
doi = {10.1007/978-3-642-01129-0_33},
year = {2009},
date = {2009-01-01},
urldate = {2009-01-01},
booktitle = {EvoGAMES: 1st European Workshop on Bio-inspired Algorithms in Games, EvoWorkshops},
pages = {293-302},
publisher = {Springer},
address = {T},
organization = {Springer},
abstract = {The swarm metaphor stands for dynamic, complex interaction networks with the possibility of emergent phenomena. In this work, we present two games that challenge the video player with the task to indirectly guide a complex swarm system. First, the player takes control of one swarm individual to herd the remainder of the flock. Second, the player changes the interaction parameters that determine the emergent flight formations, and thereby the flock’s success in the game. Additionally, a user-friendly interface for evolutionary computation is embedded to support the player’s search for well-performing swarm configurations.},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
2008
Pilat, Marcin; Jacob, Christian
Creature academy: a system for virtual creature evolution Proceedings Article
In: CEC 2008, IEEE Congress on Evolutionary Computation, pp. 3289-3297, IEEE Press, 2008.
Abstract | Links | BibTeX | Tags: artificial life, evolutionary design
@inproceedings{pilat2008wcci,
title = {Creature academy: a system for virtual creature evolution},
author = {Marcin Pilat and Christian Jacob},
doi = {10.1109/cec.2008.4631243},
year = {2008},
date = {2008-07-01},
urldate = {2008-07-01},
booktitle = {CEC 2008, IEEE Congress on Evolutionary Computation},
pages = {3289-3297},
publisher = {IEEE Press},
abstract = {In this paper, we present Creature Academy, a virtual laboratory that allows for the evolution of form and function within simulated physical 3D environments. Creature Academy can be used to explore evolutionary mechanisms, design, learning and other processes studied in artificial life simulations. Our system allows to perform hierarchical evolutionary experiments and ecosystem-inspired setups to investigate bodied creatures that interact, compete, adapt, and evolve. As a first proof of concept, we use Creature Academy to evolve morphologies and motion strategies of virtual creatures that walk and jump. We then present results that compare hierarchical evolution scenarios to generate creatures that excel in both walking and jumping, demonstrating how to evolve from creature specialists to generalists.},
keywords = {artificial life, evolutionary design},
pubstate = {published},
tppubtype = {inproceedings}
}
Esmaeili, Afshin; Jacob, Christian
Evolution by Exploration of Random Boolean Networks Proceedings Article
In: IMS 2008, 9th International Mathematica Symposium, Maastricht, Netherlands, 2008.
Abstract | Links | BibTeX | Tags:
@inproceedings{Esmaeili-2008-IMS,
title = {Evolution by Exploration of Random Boolean Networks},
author = {Afshin Esmaeili and Christian Jacob},
doi = {10.1109/cec.2008.4631257},
year = {2008},
date = {2008-01-01},
urldate = {2008-01-01},
booktitle = {IMS 2008, 9th International Mathematica Symposium},
address = {Maastricht, Netherlands},
abstract = {Random Boolean networks (RBNs) are abstract models of gene regulatory networks that govern gene expression in cells. We have developed an evolutionary model to explore the dynamic states of random Boolean networks using heuristic optimization methods. The generic behavior of random Boolean networks is investigated as the evolutionary process works its way through different generations, identifying attractors that have been suggested to resemble cell types. We investigate several fitness functions to tune RBNs with respect to the number of attractors and other network parameters such as excess graph, attractor cycle length, network sensitivity and average basin entropy. We show that by imposing particular constraints on the evolutionary model we can generate ensembles of more stable networks, which are less sensitive to perturbations. Therefore, we demonstrate that an evolutionary approach can be useful for the generation of RBN ensembles, that is sets of regulatory networks that share particular properties.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Khemka, Namrata; Hushlak, Gerald; Jacob, Christian
Visualization Strategies for Evolutionary Algorithms Proceedings Article
In: IMS 2008, 9th International Mathematica Symposium, Maastricht, Netherlands, 2008.
BibTeX | Tags:
@inproceedings{Khemka-2008-IMS,
title = {Visualization Strategies for Evolutionary Algorithms},
author = {Namrata Khemka and Gerald Hushlak and Christian Jacob},
year = {2008},
date = {2008-01-01},
urldate = {2008-01-01},
booktitle = {IMS 2008, 9th International Mathematica Symposium},
address = {Maastricht, Netherlands},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Khemka, Namrata; Hushlak, Gerald; Jacob, Christian
Evolving ARTLANDIA Computer Art Proceedings Article
In: IMS 2008, 9th International Mathematica Symposium, Maastricht, Netherlands, 2008.
BibTeX | Tags:
@inproceedings{Khemka-2008-ARTL,
title = {Evolving ARTLANDIA Computer Art},
author = {Namrata Khemka and Gerald Hushlak and Christian Jacob},
year = {2008},
date = {2008-01-01},
urldate = {2008-01-01},
booktitle = {IMS 2008, 9th International Mathematica Symposium},
address = {Maastricht, Netherlands},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
von Mammen, Sebastian; Jacob, Christian
Swarm-driven idea models--from insect nests to modern architecture Journal Article
In: WIT Transactions on Ecology and the Environment, vol. 113, pp. 117–126, 2008.
Abstract | Links | BibTeX | Tags:
@article{von2008swarm,
title = {Swarm-driven idea models--from insect nests to modern architecture},
author = {Sebastian von Mammen and Christian Jacob},
doi = {10.2495/arc080121},
year = {2008},
date = {2008-01-01},
urldate = {2008-01-01},
journal = {WIT Transactions on Ecology and the Environment},
volume = {113},
pages = {117--126},
publisher = {WIT Press},
abstract = {Inspired by the construction behavior of social insects we have developed a computational model of a swarm to build architectural idea models in virtual three-dimensional space. Instead of following a blueprint for construction, the individuals of a swarm react to their local environment according to an innate behavioral script. Through the interplay of the swarm with its environment, interaction sequences take place that give rise to complex emergent constructions. The configuration of the swarm determines the character of the emerging architectural models. We breed swarms that meet our expectations through artificial evolution, a very general framework for computationally phrased optimization problems.We present several evolved, swarm-built architectural idea models and discuss their potential in regards to modern ecological architecture. Keywords: swarm grammar, ideal model, ecological architecture, bio-inspired computing, computer-aided design, computer-aided architectural design, generative representation, swarm intelligence, collective intelligence, artificial intelligence, artificial life, evolutionary computation, stigmergy, collaborative algorithm. 1 Introduction Flocks of birds, schools of fish and bee hives are prominent examples of swarm systems. In these, large numbers of individuals interact by following simple stimulus-reaction rules. Globally, the swarm exhibits collectively intelligent behavior. Examples of their emergent abilities are nest constructions of social insect swarms, like termite mounds, wasp nests and ant galleries [1].},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
von Mammen, Sebastian; Jacob, Christian
The Spatiality of Swarms-Quantitative Analysis of Dynamic Interaction Networks. Proceedings Article
In: ALIFE, pp. 662–669, 2008.
BibTeX | Tags:
@inproceedings{von2008spatiality,
title = {The Spatiality of Swarms-Quantitative Analysis of Dynamic Interaction Networks.},
author = {Sebastian von Mammen and Christian Jacob},
year = {2008},
date = {2008-01-01},
urldate = {2008-01-01},
booktitle = {ALIFE},
pages = {662--669},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Jacob, Christian
Dancing with Swarms: Utilizing Swarm Intelligence to Build, Investigate, and Control Complex Systems Book Section
In: Design by Evolution, pp. 69–94, Springer, 2008.
Abstract | Links | BibTeX | Tags:
@incollection{jacob2008dancing,
title = {Dancing with Swarms: Utilizing Swarm Intelligence to Build, Investigate, and Control Complex Systems},
author = {Christian Jacob},
doi = {10.1007/978-3-540-74111-4_5},
year = {2008},
date = {2008-01-01},
urldate = {2008-01-01},
booktitle = {Design by Evolution},
pages = {69--94},
publisher = {Springer},
abstract = {We are surrounded by a natural world of massively parallel, decentralized biological “information processing” systems, a world that exhibits fascinating emergent properties in many ways. In fact, our very own bodies are the result of emergent patterns, as the development of any multi-cellular organism is determined by localized interactions among an enormous number of cells, carefully orchestrated by enzymes, signalling proteins and other molecular “agents”. What is particularly striking about these highly distributed developmental processes is that a centralized control agency is completely absent. This is also the case for many other biological systems, such as termites which build their nests—without an architect that draws a plan, or brain cells evolving into a complex ‘mind machine’—without an explicit blueprint of a network layout.},
keywords = {},
pubstate = {published},
tppubtype = {incollection}
}
Khemka, Namrata; Jacob, Christian
Exploratory toolkit for evolutionary and swarm-based optimization Journal Article
In: Mathematica Journal, vol. 11, no. 3, pp. 376, 2008.
BibTeX | Tags:
@article{khemka2008exploratory,
title = {Exploratory toolkit for evolutionary and swarm-based optimization},
author = {Namrata Khemka and Christian Jacob},
year = {2008},
date = {2008-01-01},
urldate = {2008-01-01},
journal = {Mathematica Journal},
volume = {11},
number = {3},
pages = {376},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Bergmann, Karel P; Scheidler, Renate; Jacob, Christian
Cryptanalysis using genetic algorithms Conference
GECCO: Genetic and Evolutionary Computatio Conference, Atlanta, GA, 2008.
Abstract | Links | BibTeX | Tags:
@conference{DBLP:conf/gecco/BergmannSJ08,
title = {Cryptanalysis using genetic algorithms},
author = {Karel P Bergmann and Renate Scheidler and Christian Jacob},
doi = {10.1145/1389095.1389297},
year = {2008},
date = {2008-01-01},
urldate = {2008-01-01},
booktitle = {GECCO: Genetic and Evolutionary Computatio Conference},
pages = {1099-1100},
address = {Atlanta, GA},
abstract = {Genetic algorithms were used for the cryptanalysis of a number of classical cryptosystems. The results of applying a number of GA implementations to various ciphers are presented. The selection of appropriate mutation operators and fitness functions is also discussed.},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
von Mammen, Sebastian; Jacob, Christian
Evolutionary swarm design of architectural idea models Conference
GECCO: Genetic and Evolutionary Computatio Conference, Atlanta, GA, 2008, (<p>This article received the <b>Best Paper Award</b> at GECCO 2008.</p>).
Abstract | Links | BibTeX | Tags:
@conference{DBLP:conf/gecco/MammenJ08,
title = {Evolutionary swarm design of architectural idea models},
author = {Sebastian von Mammen and Christian Jacob},
doi = {10.1145/1389095.1389115},
year = {2008},
date = {2008-01-01},
urldate = {2008-01-01},
booktitle = {GECCO: Genetic and Evolutionary Computatio Conference},
pages = {143-150},
address = {Atlanta, GA},
abstract = {In this paper we present a swarm grammar system that makes use of bio-inspired mechanisms of reproduction, communication and construction in order to build three-dimensional structures. Ultimately, the created structures serve as idea models that lend themselves to inspirations for architectural designs.
Appealing design requires structural complexity. In order to computationally evolve swarm grammar configurations that yield interesting architectural models, we observe their productivity, coordination, efficiency, and their unfolding diversity during the simulations. In particular, we measure the numbers of collaborators in each swarm individual's neighborhood, and we count the types of expressed swarm agents and built construction elements. At the end of the simulation the computation time is saved and the created structures are rated with respect to their approximation of pre-defined shapes. These ratings are incorporated into the fitness function of a genetic algorithm. We show that the conducted measurements are useful to direct an evolutionary search towards interesting yet well-constrained architectural idea models.},
note = {<p>This article received the <b>Best Paper Award</b> at GECCO 2008.</p>},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Appealing design requires structural complexity. In order to computationally evolve swarm grammar configurations that yield interesting architectural models, we observe their productivity, coordination, efficiency, and their unfolding diversity during the simulations. In particular, we measure the numbers of collaborators in each swarm individual's neighborhood, and we count the types of expressed swarm agents and built construction elements. At the end of the simulation the computation time is saved and the created structures are rated with respect to their approximation of pre-defined shapes. These ratings are incorporated into the fitness function of a genetic algorithm. We show that the conducted measurements are useful to direct an evolutionary search towards interesting yet well-constrained architectural idea models.
Esmaeili, Afshin; Jacob, Christian
Evolution of discrete gene regulatory models Conference
GECCO: Genetic and Evolutionary Computatio Conference, Atlanta, GA, 2008.
Abstract | Links | BibTeX | Tags:
@conference{DBLP:conf/gecco/EsmaeiliJ08,
title = {Evolution of discrete gene regulatory models},
author = {Afshin Esmaeili and Christian Jacob},
doi = {10.1145/1389095.1389150},
year = {2008},
date = {2008-01-01},
urldate = {2008-01-01},
booktitle = {GECCO: Genetic and Evolutionary Computatio Conference},
pages = {307-314},
address = {Atlanta, GA},
abstract = {Gene regulatory networks (GRNs) are complex control systems that govern the interaction of genes, which ultimately control cellular processes at the protein level. GRNs can be represented using abstract models such as random Boolean networks (RBNs), where gene activities and their interactions are captured as nodes with associated Boolean functions, which receive activation or repressor signals from other nodes. We have developed an evolutionary model of gene regulatory networks using RBNs to study the dynamic behavior of these control systems. We explore a range of different network parameters such as excess graph, sensitivity, basin entropy, number of attractors and maximum length of attractors in RBNs. We investigate the effects of mutations and crossover on the fitness of RBNs, and we show that over the course of evolution, networks with a low level of damage spreading and a high tolerance to random perturbations can be produced. We also demonstrate that these networks are able to adapt to a range of different perturbations obtaining a high level of stability.},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Khemka, Namrata; Novakowski, Scott; Hushlak, Gerald; Jacob, Christian
Evolutionary design of dynamic SwarmScapes Conference
GECCO: Genetic and Evolutionary Computatio Conference, Atlanta, GA, 2008.
Abstract | Links | BibTeX | Tags:
@conference{DBLP:conf/gecco/KhemkaNHJ08,
title = {Evolutionary design of dynamic SwarmScapes},
author = {Namrata Khemka and Scott Novakowski and Gerald Hushlak and Christian Jacob},
doi = {10.1145/1389095.1389297},
year = {2008},
date = {2008-01-01},
urldate = {2008-01-01},
booktitle = {GECCO: Genetic and Evolutionary Computatio Conference},
pages = {827-834},
address = {Atlanta, GA},
abstract = {Genetic algorithms were used for the cryptanalysis of a number of classical cryptosystems. The results of applying a number of GA implementations to various ciphers are presented. The selection of appropriate mutation operators and fitness functions is also discussed.},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Khemka, Namrata; Jacob, Christian
What Hides in Dimension X? A Quest for Visualizing Particle Swarms Conference
ANTS Conference, 2008.
Abstract | Links | BibTeX | Tags:
@conference{DBLP:conf/antsw/KhemkaJ08,
title = {What Hides in Dimension X? A Quest for Visualizing Particle Swarms},
author = {Namrata Khemka and Christian Jacob},
doi = {10.1007/978-3-540-87527-7_17},
year = {2008},
date = {2008-01-01},
urldate = {2008-01-01},
booktitle = {ANTS Conference},
pages = {191-202},
abstract = {The way we perform evolutionary experiments is all influenced by visualizing multi-dimensional solutions, analyzing the extent to which the search space is explored, displaying the gross population statistics, determining clustering and building blocks, and finding successful combinations of parameter values. Through visualization we can gain valuable insights to enhance our knowledge about particle swarm optimizers, in particular, and the search space that is being explored. In this paper, we focus on different visualization techniques for particle swarm systems. We investigate the advantages of a range of graphical data representation methods by example of the two- and four-dimensional sphere function, the two-dimensional simplified foxholes function, and a 56-dimensional real-world example in the context of muscle stimulus patterns.},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Esmaeili, Afshin; Jacob, Christian
Evolutionary exploration of Boolean networks Conference
IEEE Congress on Evolutionary Computation, 2008.
BibTeX | Tags:
@conference{DBLP:conf/cec/EsmaeiliJ08,
title = {Evolutionary exploration of Boolean networks},
author = {Afshin Esmaeili and Christian Jacob},
year = {2008},
date = {2008-01-01},
urldate = {2008-01-01},
booktitle = {IEEE Congress on Evolutionary Computation},
pages = {3396-3403},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
von Mammen, Sebastian; Wong, Joyce; Jacob, Christian
Virtual Constructive Swarm Compositions and Inspirations Conference
EvoWorkshops, 2008.
Abstract | Links | BibTeX | Tags:
@conference{DBLP:conf/evoW/MammenWJ08,
title = {Virtual Constructive Swarm Compositions and Inspirations},
author = {Sebastian von Mammen and Joyce Wong and Christian Jacob},
doi = {10.1007/978-3-540-78761-7_53},
year = {2008},
date = {2008-01-01},
urldate = {2008-01-01},
booktitle = {EvoWorkshops},
pages = {491-496},
abstract = {This work is an example of the interplay between computer-generated art work by a computer scientist and traditional paintings on canvas by an artist. We show that computer-generated swarm constructions can obtain great expressiveness and exhibit liveliness, rhythm, movement, tension, contrasts, organic looks, and rigid forms. These characteristics lend themselves to complement traditional paintings when swarm constructions are integrated into the according works. The interplay between computationally generated and traditional art is even furthered when artistic conceptualizations are governed by swarm constructions.},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Jacob, Christian; Hushlak, Gerald
Evolutionary and Swarm Design in Science, Art, and Music Book Chapter
In: Machado, P; Romero, J (Ed.): The Art of Artificial Evolution, pp. 145-166, Springer, New York, 2008.
BibTeX | Tags:
@inbook{DBLP:conf/ncs/JacobH08,
title = {Evolutionary and Swarm Design in Science, Art, and Music},
author = {Christian Jacob and Gerald Hushlak},
editor = {Machado, P and Romero, J},
year = {2008},
date = {2008-01-01},
urldate = {2008-01-01},
booktitle = {The Art of Artificial Evolution},
pages = {145-166},
publisher = {Springer},
address = {New York},
organization = {Springer},
series = {Natural Computing Series},
keywords = {},
pubstate = {published},
tppubtype = {inbook}
}
2007
Bhalla, Navneet; Jacob, Christian
A framework for analyzing and creating self-assembling systems Proceedings Article
In: Swarm Intelligence Symposium, 2007. SIS 2007. IEEE, pp. 281–288, IEEE 2007.
Abstract | Links | BibTeX | Tags:
@inproceedings{bhalla2007framework,
title = {A framework for analyzing and creating self-assembling systems},
author = {Navneet Bhalla and Christian Jacob},
doi = {10.1109/sis.2007.367949},
year = {2007},
date = {2007-01-01},
urldate = {2007-01-01},
booktitle = {Swarm Intelligence Symposium, 2007. SIS 2007. IEEE},
pages = {281--288},
organization = {IEEE},
abstract = {Self-assembly is an emergent property of decentralized systems, which is seen throughout nature. Understanding and applying this emergent property continues to be an important subject in the natural sciences, as well as engineering and computer science. However, only the specific principles and mechanisms of self-assembly are considered within the scope of their respective disciplines. A framework is presented here, which abstracts self-assembly to components, environment, energy, assembly protocol, spatial relationship, localized communication, and rule set. By viewing self-assembly in this manner, this framework facilitates melding the various self-assembly principles and mechanisms studied across disciplines. The benefit of this is that it aids in the pursuit of designing synthetic systems mirroring the robustness of this bottom-up construction process in nature. Several experiments are presented that exhibit this robust construction process, and demonstrate how this framework can be leveraged for analyzing and creating self-assembling systems.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Bhalla, Navneet; Bentley, Peter J; Jacob, Christian
Mapping virtual self-assembly rules to physical systems Journal Article
In: Unconventional Computing, vol. 167, 2007.
BibTeX | Tags:
@article{bhalla2007mapping,
title = {Mapping virtual self-assembly rules to physical systems},
author = {Navneet Bhalla and Peter J Bentley and Christian Jacob},
year = {2007},
date = {2007-01-01},
urldate = {2007-01-01},
journal = {Unconventional Computing},
volume = {167},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
King, P.; Lavrovsky, V.; von Mammen, Sebastian; Jacob, Christian
Teaching bacteria how to dance Journal Article
In: IET Synthetic Biology, vol. 1, no. 1, pp. 36–40, 2007.
Abstract | Links | BibTeX | Tags:
@article{king2007teaching,
title = {Teaching bacteria how to dance},
author = {P. King and V. Lavrovsky and Sebastian von Mammen and Christian Jacob},
doi = {10.1049/iet-stb:20070006},
year = {2007},
date = {2007-01-01},
urldate = {2007-01-01},
journal = {IET Synthetic Biology},
volume = {1},
number = {1},
pages = {36--40},
publisher = {Citeseer},
abstract = {The motivational design idea for our iGEM 2006 team was to use bacteria to create swarm paintings. We designed two types of E. coli cells: senders and receivers. Stationary senders would act as attraction points; receivers would follow nutrition gradients towards the senders. In addition to the first steps of the actual in vitro designs, we developed a computer simulation of our bacterial swarm painters.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Jacob, Christian; von Mammen, Sebastian
Swarm grammars: growing dynamic structures in 3d agent spaces Journal Article
In: Digital Creativity, vol. 18, no. 1, pp. 54–64, 2007.
BibTeX | Tags:
@article{jacob2007swarm,
title = {Swarm grammars: growing dynamic structures in 3d agent spaces},
author = {Christian Jacob and Sebastian von Mammen},
year = {2007},
date = {2007-01-01},
urldate = {2007-01-01},
journal = {Digital Creativity},
volume = {18},
number = {1},
pages = {54--64},
publisher = {Taylor & Francis},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Jacob, Christian; Hushlak, Gerald; Boyd, Jeffrey E; Nuytten, Paul; Sayles, Maxwell; Pilat, Marcin
Swarmart: Interactive art from swarm intelligence Journal Article
In: Leonardo, vol. 40, no. 3, pp. 248–254, 2007.
BibTeX | Tags:
@article{jacob2007swarmart,
title = {Swarmart: Interactive art from swarm intelligence},
author = {Christian Jacob and Gerald Hushlak and Jeffrey E Boyd and Paul Nuytten and Maxwell Sayles and Marcin Pilat},
year = {2007},
date = {2007-01-01},
urldate = {2007-01-01},
journal = {Leonardo},
volume = {40},
number = {3},
pages = {248--254},
publisher = {MIT Press},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Hornby, Gregory; Kumar, Sanjeev; Jacob, Christian
Editorial introduction to the special issue on developmental systems Journal Article
In: Genetic Programming and Evolvable Machines, vol. 8, no. 2, pp. 111-113, 2007.
BibTeX | Tags:
@article{DBLP:journals/gpem/HornbyKJ07,
title = {Editorial introduction to the special issue on developmental systems},
author = {Gregory Hornby and Sanjeev Kumar and Christian Jacob},
year = {2007},
date = {2007-01-01},
urldate = {2007-01-01},
journal = {Genetic Programming and Evolvable Machines},
volume = {8},
number = {2},
pages = {111-113},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
von Mammen, Sebastian; Jacob, Christian
Genetic swarm grammar programming: Ecological breeding like a gardener Conference
IEEE Congress on Evolutionary Computation, 2007.
BibTeX | Tags:
@conference{DBLP:conf/cec/MammenJ07,
title = {Genetic swarm grammar programming: Ecological breeding like a gardener},
author = {Sebastian von Mammen and Christian Jacob},
year = {2007},
date = {2007-01-01},
urldate = {2007-01-01},
booktitle = {IEEE Congress on Evolutionary Computation},
pages = {851-858},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
2006
Houtzager, Gwen; Jacob, Christian; Williamson, Carey
An evolutionary approach to optimal web proxy cache placement Proceedings Article
In: Evolutionary Computation, 2006. CEC 2006. IEEE Congress on, pp. 1552–1560, IEEE 2006.
BibTeX | Tags:
@inproceedings{houtzager2006evolutionary,
title = {An evolutionary approach to optimal web proxy cache placement},
author = {Gwen Houtzager and Christian Jacob and Carey Williamson},
year = {2006},
date = {2006-01-01},
urldate = {2006-01-01},
booktitle = {Evolutionary Computation, 2006. CEC 2006. IEEE Congress on},
pages = {1552--1560},
organization = {IEEE},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Jacob, Christian; Barbasiewicz, Anna; Tsui, Glorious
Swarms and genes: Exploring $łambda$-switch gene regulation through swarm intelligence Proceedings Article
In: Evolutionary Computation, 2006. CEC 2006. IEEE Congress on, pp. 2535–2542, IEEE 2006.
BibTeX | Tags:
@inproceedings{jacob2006swarms,
title = {Swarms and genes: Exploring $łambda$-switch gene regulation through swarm intelligence},
author = {Christian Jacob and Anna Barbasiewicz and Glorious Tsui},
year = {2006},
date = {2006-01-01},
urldate = {2006-01-01},
booktitle = {Evolutionary Computation, 2006. CEC 2006. IEEE Congress on},
pages = {2535--2542},
organization = {IEEE},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Jacob, Christian; Burleigh, Ian
Genetic programming inside a cell Book Section
In: Genetic Programming Theory and Practice III, pp. 191–206, Springer, 2006.
BibTeX | Tags:
@incollection{jacob2006genetic,
title = {Genetic programming inside a cell},
author = {Christian Jacob and Ian Burleigh},
year = {2006},
date = {2006-01-01},
urldate = {2006-01-01},
booktitle = {Genetic Programming Theory and Practice III},
pages = {191--206},
publisher = {Springer},
keywords = {},
pubstate = {published},
tppubtype = {incollection}
}
Nguyen, Quoc; Novakowski, Scott; Boyd, Jeffrey E; Jacob, Christian; Hushlak, Gerald
Motion swarms: video interaction for art in complex environments Conference
ACM Multimedia, Santa Barbara, CA, 2006.
BibTeX | Tags:
@conference{DBLP:conf/mm/NguyenNBJH06,
title = {Motion swarms: video interaction for art in complex environments},
author = {Quoc Nguyen and Scott Novakowski and Jeffrey E Boyd and Christian Jacob and Gerald Hushlak},
year = {2006},
date = {2006-01-01},
urldate = {2006-01-01},
booktitle = {ACM Multimedia},
pages = {461-469},
address = {Santa Barbara, CA},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Jacob, Christian; Steil, Scott; Bergmann, Karel P
The Swarming Body: Simulating the Decentralized Defenses of Immunity Conference
ICARIS, 2006.
Abstract | Links | BibTeX | Tags: biological simulation, immune system, LINDSAY
@conference{DBLP:conf/icaris/JacobSB06,
title = {The Swarming Body: Simulating the Decentralized Defenses of Immunity},
author = {Christian Jacob and Scott Steil and Karel P Bergmann},
url = {https://www.researchgate.net/profile/Christian_Jacob4/publication/221506532_The_Swarming_Body_Simulating_the_Decentralized_Defenses_of_Immunity/links/00463527b18e1c164f000000/The-Swarming-Body-Simulating-the-Decentralized-Defenses-of-Immunity.pdf},
doi = {10.1007/11823940_5},
year = {2006},
date = {2006-01-01},
urldate = {2006-01-01},
booktitle = {ICARIS},
pages = {52-65},
abstract = {We consider the human body as a well-orchestrated system of interacting swarms. Utilizing swarm intelligence techniques, we present our latest virtual simulation and experimentation environment, IMMS:VIGO::3D, to explore key aspects of the human immune system. Immune system cells and related entities (viruses, bacteria, cytokines) are represented as virtual agents inside 3-dimensional, decentralized and compartmentalized environments that represent primary and secondary lymphoid organs as well as vascular and lymphatic vessels. Specific immune system responses emerge as by-products from collective interac- tions among the involved simulated textquoteleftagentstextquoteright and their environment. We demonstrate simulation results for clonal selection and primary and secondary collective responses after viral infection, as well as the key response patterns encountered during bacterial infection. We see this simulation environment as an essential step towards a hierarchical whole-body simulation of the immune system, both for educational and research purposes.},
keywords = {biological simulation, immune system, LINDSAY},
pubstate = {published},
tppubtype = {conference}
}
2005
Jacob, Christian; Pilat, Marcin; Bentley, Peter J; Timmis, Jonathan (Ed.)
Artificial Immune Systems: 4th International Conference, ICARIS 2005, Banff, Alberta, Canada, August 14-17, 2005, Proceedings Proceedings
Springer, vol. 3627, 2005, ISBN: 3-540-28175-4.
BibTeX | Tags:
@proceedings{DBLP:conf/icaris/2005,
title = {Artificial Immune Systems: 4th International Conference, ICARIS 2005, Banff, Alberta, Canada, August 14-17, 2005, Proceedings},
editor = {Christian Jacob and Marcin Pilat and Peter J Bentley and Jonathan Timmis},
isbn = {3-540-28175-4},
year = {2005},
date = {2005-01-01},
urldate = {2005-01-01},
journal = {ICARIS},
volume = {3627},
publisher = {Springer},
keywords = {},
pubstate = {published},
tppubtype = {proceedings}
}
Khemka, Namrata; Jacob, Christian; Cole, Gerald
Making soccer kicks better: a study in particle swarm optimization and evolution strategies Conference
Congress on Evolutionary Computation, Edinburgh, U.K., 2005.
BibTeX | Tags:
@conference{DBLP:conf/cec/KhemkaJC05,
title = {Making soccer kicks better: a study in particle swarm optimization and evolution strategies},
author = {Namrata Khemka and Christian Jacob and Gerald Cole},
year = {2005},
date = {2005-01-01},
urldate = {2005-01-01},
booktitle = {Congress on Evolutionary Computation},
pages = {735-742},
address = {Edinburgh, U.K.},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Khemka, Namrata; Jacob, Christian; Cole, Gerald
Making soccer kicks better: a study in particle swarm optimization Conference
GECCO Workshops, 2005.
BibTeX | Tags:
@conference{DBLP:conf/gecco/KhemkaJC05,
title = {Making soccer kicks better: a study in particle swarm optimization},
author = {Namrata Khemka and Christian Jacob and Gerald Cole},
year = {2005},
date = {2005-01-01},
urldate = {2005-01-01},
booktitle = {GECCO Workshops},
pages = {382-385},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
von Mammen, Sebastian; Jacob, Christian; Kokai, Gabriella
Evolving swarms that build 3D structures Conference
Congress on Evolutionary Computation, Edinburgh, U.K., 2005.
Abstract | Links | BibTeX | Tags:
@conference{DBLP:conf/cec/MammenJK05,
title = {Evolving swarms that build 3D structures},
author = {Sebastian von Mammen and Christian Jacob and Gabriella Kokai},
url = {https://ucalgary-primo.hosted.exlibrisgroup.com/primo-explore/openurl?sid=google&auinit=S&aulast=Von%20Mammen&atitle=Evolving%20swarms%20that%20build%203d%20structures&id=doi:10.1109%2FCEC.2005.1554858&title=2005%20IEEE%20Congress%20on%20Evolutionary%20Computation&volume=2&date=2005&spage=1434&vid=UCALGARY&institution=01UCALG&url_ctx_val=&url_ctx_fmt=null&isSerivcesPage=true},
doi = {10.1109/CEC.2005.1554858},
year = {2005},
date = {2005-01-01},
urldate = {2005-01-01},
booktitle = {Congress on Evolutionary Computation},
pages = {1434-1441},
address = {Edinburgh, U.K.},
abstract = {The complex interactions of natural swarms, for example formed by some social insects, are difficult to comprehend. Considering tasks such as nest-building, the necessary underlying communication presumably happens indirectly by changing and reacting on the environment. This paper presents an overall approach to interactively evolve rule-based swarms that create three-dimensional structures in continuous space. The approach comprises the design of the swarm agent, details about the breeding process and first results. A swarm is determined by a set of flocking parameters and a set of instructional rules that allow the agents to change their local structural environment. The center or focus of the swarm's endeavour may be shifted either on a swarm agent or on a fixed point in space. The alteration of the supplied 3D structure during the course of evolution enables an external supervisor to interactively guide the development of a swarm.},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
2004
Jacob, Christian; Litorco, Julius; Lee, Leo
Immunity through swarms: Agent-based simulations of the human immune system Proceedings Article
In: International Conference on Artificial Immune Systems, pp. 400–412, Springer 2004, (Jacob, C., Litorco, J., Lee, L. (2004). Immunity Through Swarms: Agent-Based Simulations of the Human Immune System. In: Nicosia, G., Cutello, V., Bentley, P.J., Timmis, J. (eds) Artificial Immune Systems. ICARIS 2004. Lecture Notes in Computer Science, vol 3239. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30220-9_32).
Abstract | Links | BibTeX | Tags: immune system
@inproceedings{jacob2004immunity,
title = {Immunity through swarms: Agent-based simulations of the human immune system},
author = {Christian Jacob and Julius Litorco and Leo Lee},
url = {https://citeseerx.ist.psu.edu/document?repid=rep1&type=pdf&doi=d7b97da8f3e3672a2d22aeee2004fa23914e67c6#page=411},
doi = {https://doi.org/10.1007/978-3-540-30220-9_32},
year = {2004},
date = {2004-01-01},
urldate = {2004-01-01},
booktitle = {International Conference on Artificial Immune Systems},
volume = {3239},
pages = {400--412},
organization = {Springer},
series = {LNCS},
abstract = {We present a swarm-based, 3-dimensional model of the hu- man immune system and its response to first and second viral antigen exposure. Our model utilizes a decentralized swarm approach with mul- tiple agents acting independently—following local interaction rules—to exhibit complex emergent behaviours, which constitute externally ob- servable and measurable immune reactions. The two main functional branches of the human immune system, humoral and cell-mediated im- munity, are simulated. We model the production of antibodies in response to a viral population; antibody-antigen complexes are formed, which are removed by macrophages; virally infected cells are lysed by cytotoxic T cells. Our system also demonstrates reinforced reaction to a previously encountered pathogen, thus exhibiting realistic memory response.},
note = {Jacob, C., Litorco, J., Lee, L. (2004). Immunity Through Swarms: Agent-Based Simulations of the Human Immune System. In: Nicosia, G., Cutello, V., Bentley, P.J., Timmis, J. (eds) Artificial Immune Systems. ICARIS 2004. Lecture Notes in Computer Science, vol 3239. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30220-9_32},
keywords = {immune system},
pubstate = {published},
tppubtype = {inproceedings}
}
Jacob, Christian; Khemka, Namrata
Particle Swarm Optimization: An Exploration Kit for Evolutionary Optimization Proceedings Article
In: New Ideas in Symbolic Computation: Proceedings of the Sixth International Mathematica Symposium (IMS'04), Hampshire, UK: Positive Corporation Ltd 2004.
BibTeX | Tags:
@inproceedings{jacob2004particle,
title = {Particle Swarm Optimization: An Exploration Kit for Evolutionary Optimization},
author = {Christian Jacob and Namrata Khemka},
year = {2004},
date = {2004-01-01},
urldate = {2004-01-01},
booktitle = {New Ideas in Symbolic Computation: Proceedings of the Sixth International Mathematica Symposium (IMS'04)},
organization = {Hampshire, UK: Positive Corporation Ltd},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Jacob, Christian; Burleigh, Ian
Biomolecular swarms - an agent-based model of the lactose operon Journal Article
In: Natural Computing, vol. 3, no. 4, pp. 361-376, 2004.
Abstract | Links | BibTeX | Tags:
@article{DBLP:journals/nc/JacobB04,
title = {Biomolecular swarms - an agent-based model of the lactose operon},
author = {Christian Jacob and Ian Burleigh},
url = {https://ucalgary-primo.hosted.exlibrisgroup.com/primo-explore/openurl?sid=google&auinit=I&aulast=Burleigh&atitle=Biomolecular%20swarms%E2%80%93an%20agent-based%20model%20of%20the%20lactose%20operon&id=doi:10.1007%2Fs11047-004-2638-7&title=Natural%20computing.&volume=3&issue=4&date=2004&spage=361&issn=1567-7818&vid=UCALGARY&institution=01UCALG&url_ctx_val=&url_ctx_fmt=null&isSerivcesPage=true},
year = {2004},
date = {2004-01-01},
urldate = {2004-01-01},
journal = {Natural Computing},
volume = {3},
number = {4},
pages = {361-376},
abstract = {We present our latest version of a swarm-based, 3-dimensional model of the lactose (lac) operon gene regulatory system. The lac operon is a well-understood genetic switch capable of self-regulation dependent on the energy source of lactose. Our model includes a 3D visualisation which simulates proteins as agents with physical properties that interact with DNA, molecules, and other proteins, incorporating many of the important aspects of a genetic regulatory system. Our model utilizes a decentralized swarm approach with multiple agents acting independently – according to local interaction rules – to exhibit complex emergent behaviours, which constitute the externally observable and measurable switching behaviour.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Boyd, Jeffrey E; Hushlak, Gerald; Jacob, Christian
SwarmArt: interactive art from swarm intelligence Conference
ACM Multimedia, 2004.
BibTeX | Tags:
@conference{DBLP:conf/mm/BoydHJ04,
title = {SwarmArt: interactive art from swarm intelligence},
author = {Jeffrey E Boyd and Gerald Hushlak and Christian Jacob},
year = {2004},
date = {2004-01-01},
urldate = {2004-01-01},
booktitle = {ACM Multimedia},
pages = {628-635},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
2003
Kwong, Henry; Jacob, Christian
Evolutionary exploration of dynamic swarm behaviour Proceedings Article
In: Evolutionary Computation, 2003. CEC'03. The 2003 Congress on, pp. 367–374, IEEE 2003.
BibTeX | Tags:
@inproceedings{kwong2003evolutionary,
title = {Evolutionary exploration of dynamic swarm behaviour},
author = {Henry Kwong and Christian Jacob},
year = {2003},
date = {2003-01-01},
urldate = {2003-01-01},
booktitle = {Evolutionary Computation, 2003. CEC'03. The 2003 Congress on},
volume = {1},
pages = {367--374},
organization = {IEEE},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Suen, Garret; Jacob, Christian
A symbolic and graphical gene regulation model of the lac operon Proceedings Article
In: Fifth International Mathematica Symposium, pp. 73–80, 2003.
BibTeX | Tags:
@inproceedings{suen2003symbolic,
title = {A symbolic and graphical gene regulation model of the lac operon},
author = {Garret Suen and Christian Jacob},
year = {2003},
date = {2003-01-01},
urldate = {2003-01-01},
booktitle = {Fifth International Mathematica Symposium},
pages = {73--80},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Hoar, Ricardo; Penner, Joanne; Jacob, Christian
Transcription and evolution of a virtual bacteria culture Proceedings Article
In: Evolutionary Computation, 2003. CEC'03. The 2003 Congress on, pp. 54–61, IEEE 2003.
BibTeX | Tags:
@inproceedings{hoar2003transcription,
title = {Transcription and evolution of a virtual bacteria culture},
author = {Ricardo Hoar and Joanne Penner and Christian Jacob},
year = {2003},
date = {2003-01-01},
urldate = {2003-01-01},
booktitle = {Evolutionary Computation, 2003. CEC'03. The 2003 Congress on},
volume = {1},
pages = {54--61},
organization = {IEEE},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Penner, Joanne; Hoar, Ricardo; Jacob, Christian
Bacterial chemotaxis in silico Proceedings Article
In: ACAL 2003, First Australian Conference on Artificial Life, 2003.
BibTeX | Tags:
@inproceedings{penner2003bacterial,
title = {Bacterial chemotaxis in silico},
author = {Joanne Penner and Ricardo Hoar and Christian Jacob},
year = {2003},
date = {2003-01-01},
urldate = {2003-01-01},
booktitle = {ACAL 2003, First Australian Conference on Artificial Life},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Burleigh, Ian; Suen, Garret; Jacob, Christian
Dna in action! a 3d swarm-based model of a gene regulatory system Proceedings Article
In: ACAL 2003, First Australian Conference on Artificial Life, Canberra, Australia, 2003.
BibTeX | Tags:
@inproceedings{burleigh2003dna,
title = {Dna in action! a 3d swarm-based model of a gene regulatory system},
author = {Ian Burleigh and Garret Suen and Christian Jacob},
year = {2003},
date = {2003-01-01},
urldate = {2003-01-01},
booktitle = {ACAL 2003, First Australian Conference on Artificial Life},
journal = {self},
address = {Canberra, Australia},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}