Advances in Artificial Life: 7th European Conference, ECAL 2003, Dortmund, Germany, September 14-17, 2003, Proceedings

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Wolfgang Banzhaf, Thomas Christaller, Peter Dittrich, Jan, T. Kim, Jens Ziegler
Springer Science & Business Media, Sep 9, 2003 - Computers - 908 pages
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Arti?cialLifehascomealongway. Sincetheinceptionofthe?eldabout16years ago with a seminal workshop at the Santa Fe Institute, the ?eld has developed quickly. Itsinterdisciplinaryrootshavebeenbothablessingandacurse. Critical people would say that nothing was new in the ideas of Arti?cial Life, since many other disciplines had addressed the very same questions, though probably under di?erent names. Other critics would state that the di?culty of interacting in an interdisciplinary way with colleagues from so many other and divergent ?elds would be so great that true progress could not come from such an enterprise, as those involved would be too busy understanding - or misunderstanding - each other. Admirers, on the other hand, would speak of a bold new attack on the most fascinating questions of science with this new approach. Others would say that new perspectives were opened by the questions the area of Arti?cial Life askedsopointedly. Forthoseinvolvedinthise?ortoversomeyears, ithasalways been very interesting and fascinating to work on these questions. From our discussions it also seems that Arti?cial Life is beginning to become mainstream. Evolutionarybiology, computationalandsystemsbiology, andc- putational social science, to name a few, are disciplines bene?tting from ideas hedgedinArti?cialLife. This, plusthesuccessofopen-endedevolutionarygames in the entertainment industry, the sensibility achieved with decades of work - hind us in arti?cial evolutionary approaches with ?xed ?tness measures, and the development of technology towards a networked, asynchronous, world of inter- tingentities, haveallconspiredtopreparethe?oorforAliferesearchcominginto its own. Notably the concept of emergence of new qualities from the interaction of entities without this quality has been a huge success in recent years.
 

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Contents

A Universal Framework for SelfReplication
1
Artificial Chemistry Based on Graph Rewriting
10
How to Program Artificial Chemistries
20
Testing Life Seeking Techniques
31
Molecularly Accessible Permutations
41
Simulating Evolutions First Steps
51
Chemistry
59
Evolution of Rewriting Rule Sets Using StringBased Tierra
69
Artificial Agents and Natural Determiners
472
Coevolution of Birdsong Grammar without Imitation
482
Systemic Architecture for Audio Signal Processing
491
Semantic Generalisation and the Inference of Meaning
499
Extending the Iterated Learning Model
507
An Associative Network Model
517
The Learning and Emergence of Mildly Context Sensitive Languages
525
The Talking Heads Simulation Tool
535

Models for the Conservation of Genetic Information with StringBased Artificial Chemistry
78
Interaction Based Evolution of SelfReplicating Loop Structures
89
Architectural Design for the Survival Optimization of Panicking Fleeing Victims
97
Metaevolutionary Game Dynamics for Mathematical Modelling of Rules Dynamics
107
Preventing Bluff Agent Invasions in Honest Societies
118
Effects of Group Composition and Level of Selection in the Evolution of Cooperation in Artificial Ants
128
Effects of Learning to Interact on the Evolution of Social Behavior of Agents in Continuous PredatorsPrey Pursuit Problem
138
War and Peace among Artificial Nations A Model and Simulation Based on a TwoLayered Multiagent System
146
Developmental Neural Networks for Agents
154
Revisiting Idiotypic Immune Networks
164
Production of Gliders by Collisions in Rule 110
175
A Computational Model of NeocorticalHippocampal Cooperation and Its Application to SelfLocalization
183
Fascinating Rhythms by Chaotic Hopfield Networks
191
Solving a Delayed Response Task with Spiking and McCullochPitts Agents
199
First Steps in Evolving Path Integration in Simulation
209
On the Dynamics of an Artificial Regulatory Network
217
Evolution and Growth of Virtual Plants
228
Evolvability of the GenotypePhenotype Relation in Populations of SelfReplicating Digital Organisms in a TierraLike System
238
Motion with Muscles
248
Evolving Developmental Programs for Adaptation Morphogenesis and SelfRepair
256
Evolving Embodied Genetic Regulatory NetworkDriven Control Systems
266
Evolution of FaultTolerant SelfReplicating Structures
278
Evolving the Ability of Limited Growth and SelfRepair for Artificial Embryos
289
How to Maintain Engagement and Diversity in Coevolving Populations
299
Culture and the Baldwin Effect
309
Adaptive Implicit Pruning of Successful Agents
319
Population Dynamics under Spatially and Temporally Heterogenous Resource Limitations in MultiAgent Networks
328
Adaptive Coupling and Intersubjectivity in Simulated TurnTaking Behaviour
336
Learning by Direct Exchange of Chromosomes
346
The First Result
357
Critical Values in Asynchronous Random Boolean Networks
367
Artificial Organisms That Sleep
377
Visualizing Evolutionary Dynamics of SelfReplicators Using GraphBased Genealogy
387
Three Steps Characterized by the Quantitative Evolution of Phenotypic Plasticity
395
Does the Red Queen Reign in the Kingdom of Digital Organisms?
405
Conditions for Stable Vowel Systems in a Population
415
Rhythm as an Indicator of Mate Quality
425
Evolving Agent Societies with VUScape
434
Fitness Is in the Speaker
442
A Noisy Way to Evolve Signaling Behaviour
452
Language Games with Mixed Populations
462
Whos Talking to Who?
545
Optimal Communication in a Noisy and Heterogeneous Environment
553
A Clustering Algorithm Based on the Ants SelfAssembly Behavior
564
A Multiagent Based Approach to Modelling and Rendering of 3D Tree Bark Textures
572
Measuring the Dynamics of Artificial Evolution
580
Pattern Recognition in a Bucket
588
Discovering Clusters in Spatial Data Using Swarm Intelligence
598
When Can We Call a System SelfOrganizing?
606
Contextual Random Boolean Networks
615
Representation of Genotype and Phenotype in a Coherent Framework Based on Extended LSystems
625
IntegratedAdaptive Genetic Algorithms
635
Simulating the Evolution of Ant Behaviour in Evaluating Nest Sites
643
Evolving Evolutionary Algorithms Using Multi Expression Programming
651
A Preliminary Investigation
659
Measuring SelfOrganization via Observers
667
General Framework for Evolutionary Activity
676
Developing and Testing Methods for Microarray Data Analysis Using an Artificial Life Framework
686
Approaching Virtual Organism by PheGe
696
Robustness to Damage of Biological and Synthetic Networks
706
An AgentBased Approach to Routing in Communications Networks with Swarm Intelligence
716
Biomorphs Implemented as a Data and Signals Cellular Automaton
724
Analyzing the Performance of WinnerTakeAll and VotingBased Action Selection Policies within the TwoResource Problem
733
Are There Representations in Embodied Evolved Agents? Taking Measures
743
Evolving Fractal Gene Regulatory Networks for Robot Control
753
Explorations of TaskDependent Visual Morphologies in Competitive Coevolutionary Experiments
763
Optimal Morphology of a BiologicallyInspired Whisker Array on an ObstacleAvoiding Robot
771
Phase Transitions in SelfOrganising Sensor Networks
781
Towards True Energetic Autonomy in Artificial Life
792
An Imitation Game for Emerging Action Categories
800
Multiagent Model of Biological Swarming
810
Visually Guided Physically Simulated Agents with Evolved Morphologies
821
An Investigation into Agent Embodiment within Virtual Robotic Swarms
829
Building a Hybrid Society of Mind Using Components from Ten Different Authors
839
Requirements for Getting a Robot to Grow up
847
Coevolving Communication and Cooperation for Lattice Formation Tasks
857
Evolving Aggregation Behaviors in a Swarm of Robots
865
LowLevel Visual Homing
875
Controlling a Simulated Khepera with an XCS Classifier System with Memory
885
TargetHunting
893
Author Index
903
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About the author (2003)

Wolfgang Banzhaf is University Research Professor and Head of the Department of Computer Science at the Memorial University of Newfoundland.