Artificial Life IX: Proceedings of the Ninth International Conference on the Simulation and Synthesis of Living Systems

Overview

Artificial Life is an interdisciplinary effort to investigate the fundamental properties of living systems through the simulation and synthesis of life-like processes. The young field brings a powerful set of tools to the study of how high-level behavior can arise in systems governed by simple rules of interaction. Some of the fundamental questions include:What are the principles of evolution, learning, and growth that can be understood well enough to simulate as an information process? Can robots be built faster...

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Overview

Artificial Life is an interdisciplinary effort to investigate the fundamental properties of living systems through the simulation and synthesis of life-like processes. The young field brings a powerful set of tools to the study of how high-level behavior can arise in systems governed by simple rules of interaction. Some of the fundamental questions include:What are the principles of evolution, learning, and growth that can be understood well enough to simulate as an information process? Can robots be built faster and more cheaply by mimicking biology than by the product design process used for automobiles and airplanes? How can we unify theories from dynamical systems, game theory, evolution, computing, geophysics, and cognition? The field has contributed fundamentally to our understanding of life itself through computer models, and has led to novel solutions to complex real-world problems across high technology and human society. This elite biennial meeting has grown from a small workshop in Santa Fe to a major international conference.

This ninth volume of the proceedings of the international A-life conference reflects the growing quality and impact of this interdisciplinary scientific community.

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Product Details

  • ISBN-13: 9780262661836
  • Publisher: MIT Press
  • Publication date: 10/1/2004
  • Series: Complex Adaptive Systems
  • Pages: 600
  • Product dimensions: 8.50 (w) x 11.00 (h) x 1.10 (d)

Meet the Author

Jordan Pollack is Associate Professor and Director of the Dynamical and Evolutionary MachineOrganization Group in the School of Computer Science at Brandeis University.

Mark A. Bedau is Professor of Philosophy and Humanities at Reed College, Adjunct Professor ofSystems Science at Portland State University, and Editor-in-Chief of the MIT Press journalArtificial Life.

Phil Husbands is Professor of Computer Science and Artificial Intelligence at the University of Sussex.

Richard A. Watson is a Senior Lecturer in the BIO@ECS Research Group, School of Electronics and Computer Science, University of Southampton.

Takashi Ikegami is Associate Professor in the Graduate School of Arts and Sciences at theUniversity of Tokyo.

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Table of Contents

1 The chemoton : a model for the formation of long RNA templates 1
2 Connecting transistors and proteins 9
3 Designed and evolved blueprints for physical self-replicating machines 15
4 Emergent robustness and self-repair through developmental cellular systems 21
5 On self-referential shape replication in robust aerospace vehicles 27
6 An evolving and developing cellular electronic circuit 33
7 An environment for simulating kinematic self-replicating machines 39
8 Towards an evolutionary-developmental approach for real-world substrates 45
9 Stepwise evolution of molecular biological coding 51
10 Once more unto the breach : co-evolving a robot and its simulator 57
11 Closing the loop : evolving a model-free visually guided robot arm 63
12 Performance evaluation of neural architectures for sequential tasks 69
13 EvolGL : life in a pond 75
14 Evolving plastic neural controllers stabilized by homeostatic mechanisms for adaptation to a perturbation 81
15 A stigmergic cooperative multi-robot control architecture 88
16 Crawling out of the simulation : evolving real robot morphologies using cheap, reusable modules 94
17 Functional freeform fabrication for physical artificial life 100
18 Quadrupedal locomotion : GasNets, CTRNNs and hybrid CTRNN/PNNs compared 106
19 Evolving simulated mutually perceptive creatures for combat 113
20 Information trade-offs and the evolution of sensory layouts 119
21 Evolving flying creatures with path following behaviors 125
22 Behavioural categorisation : behaviour makes up for bad vision 133
23 The evolution of control and adaptation in a 3D powered passive dynamic walker 139
24 Evolving imitating agents and the emergence of a neural mirror system 146
25 A comparison of population learning and cultural learning in artificial life societies 152
26 A computation framework to simulate the coevolution of language and social structure 158
27 Boom and bust : environmental variability favors the emergence of communication 164
28 Expressing and understanding desires in language games 170
29 The evolution of affect-related displays, recognition and related strategies 176
30 Language, altruism and docility : how cultural learning can favour language evolution 182
31 Evolution of plastic sensory-motor coupling and dynamical categorization 188
32 Song grammars as complex sexual displays 194
33 Analogies between genome and language evolution 200
34 The effects of learning on the evolution of Saussurean communication 208
35 Minimum cost and the emergence of the Zipf-Mandelbrot law 214
36 Modeling multicellular and tumorous existence with genetic cellular automata 220
37 Whatever emerges should be intrinsically useful 226
38 Shaping collective behavior : an exploratory design approach 232
39 Updating schemes in random boolean networks : do they really matter? 238
40 Reducing prejudice : a spatialized game-theoretic model for the contact hypothesis 244
41 Quasi-stable states in the iterated-prisoner's dilemma 250
42 Evolving memory : logical tasks for cellular automata 256
43 Complex genetic evolution of self-replicating loops 262
44 Redrawing the boundary between organism and environment 268
45 Imitation and inequity in avoiding the tragedy of the commons 274
46 The quantum coreworld : competition and cooperation in an artificial ecology 280
47 Self-reproduction by glider collisions : the beehive rule 286
48 The value of death in evolution : a lesson from Daisyworld 292
49 The flexible balance of evolutionary novelty and memory in the face of environmental catastrophes 297
50 Kin-selection : the rise and fall of kin-cheaters 303
51 Homeostasis and rein control : from Daisyworld to active perception 309
52 Measuring biological complexity in digital organisms 315
53 The role of nearly neutral nutations in the evolution of dynamical neural networks 322
54 Sustained evolution from changing interaction 328
55 See how she runs : towards visualising artificial Red Queen evolution 334
56 Sexual reproduction and Muller's ratchet in digital organisms 340
57 Chaotic population dynamics and the evolution of aging 346
58 The role of non-genetic change in the heritability, variation and response to selection of artificially selected ecosystems 352
59 Ecolab, webworld and self-organisation 358
60 Tierra's missing neutrality : case solved 364
61 Drastic changes in roles of learning in the course of evolution 369
62 Niche construction and the evolution of complexity 375
63 A model for exploring genetic control of artificial amoebae 381
64 Asymmetric cell division and its integration with other developmental processes for artificial evolutionary systems 387
65 A functional model of cell genome 393
66 Asynchronous dynamics of an artificial genetic regulatory network 399
67 Small world and scale-free network topologies in an artificial regulatory network model 404
68 Inertia of chemotactic motion as an emergent property in a model of an eukaryotic cell 410
69 Phenotypic variability in canalized developmental systems 415
70 Self-repairing and mobility of a simple cell model 421
71 Evaluating an evolutionary approach for reconstructing gene regulatory networks 427
72 Bonding as an emergent phenomenon in an abstract artificial chemistry 433
73 Evolution of robust developmental neural networks 438
74 A functional self-reproducing cell in a two-dimensional artificial chemistry 444
75 Metabolic closure in (M,R) systems 450
76 Flows of information in spatially extended chemical dynamics 456
77 Cellular dynamics in a 3D molecular dynamics system with chemistry 461
78 Lipidia : an artificial chemistry of self-replicating assemblies of lipid-like molecules 466
79 Towards the simulation of reaction networks in astrochemistry 472
80 Homochirality as fixed point of prebiotic chemistry 478
81 An evolvable artificial chemistry featuring continuous physics and discrete reactions 484
82 The role of RNA editing in dynamic environments 489
83 A tangled hierarchy of graph-constructing graphs 495
84 Graded artificial chemistry in restricted boundaries 501
85 Spacial representation for artificial chemistry based on small-world networks 507
86 Behavioral adaptive autonomy : a milestone in the alife route to AI? 514
87 A physiological approach to the generation of artificial life forms 522
88 Mechanistic and ecological explanations in agent-based models of cognition 528
89 Empiricism in artificial life 534
90 Using the universal similarity metric to model artificial creativity and predict human listeners response to evolutionary music 540
91 Playing music by conducting BOID agents 546
92 An evolutionary approach to complex system regulation using grammatical evolution 551
93 Analyzing evolved fault-tolerant neurocontrollers 557
94 Tracking information flow through the environment : simple cases of stigmergy 563
95 Ant foraging revisited 569
96 Learning ant foraging behaviors 575
97 Systems biology thought experiments in human genetics using artificial life and grammatical evolution 581
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