Artificial Life VI: Proceedings of the Sixth International Conference on Artificial LifeChristoph Adami MIT Press, 1998 - 498 lappuses The term artificial life describes research into synthetic systems that possess some of the essential properties of life. This interdisciplinary text includes biologists, computer scientists, physicist, chemists, geneticists and others. The field may be viewed as an attempt to understand high-level behaviour from low-level rules - for example, how simple interactions between ants and their environment lead to complex trail-following behaviour. An understanding of such relationships in particular systems can suggest novel solutions to complex real-world problems such as disease prevention, stock-market prediction, and data-mining on the Internet. |
Saturs
Whats Evolving in Wet ALife? | 3 |
Evolution of Linguistic Diversity in a Simple Communication System | 9 |
Takaya Arita Yuhji Koyama | 18 |
Evolving ReactionDiffusion Ecosystems with SelfAssembling Structures | 28 |
Jens Breyer Jörg Ackermann John McCaskill | 35 |
Linglan Edwards Yun Peng | 43 |
Chikara Furusawa Kunihiko Kaneko | 53 |
Jeffrey O Kephart James E Hanson Jakka Sairamesh | 63 |
Mark A Bedau Emile Snyder Norman H Packard | 238 |
Sevan G Ficici Jordan B Pollack | 248 |
An Investigation into the Role of Contingency | 256 |
Tim Taylor John Hallam | 266 |
Towards a Bridge between | 275 |
Raffaele Calabretta Stefano Nolfi Domenico Parisi Günter P Wagner | 285 |
Evolution of Differentiated Multithreaded Digital Organisms | 295 |
Spatial Centrality of Dominants without Positional Preference | 307 |
Henrik Hautop Lund Barbara Webb John Hallam | 72 |
Computational Coevolution of Antiviral Drug Resistance | 81 |
Mesoscopic Analysis of SelfEvolution in an Artificial Chemistry | 95 |
Peter Dittrich Jens Ziegler Wolfgang Banzhaf | 104 |
Nicholas Mark Gotts Paul B Callahan | 114 |
SelfReproduction of Dynamical Hierarchies in Chemical Systems | 123 |
Bernd Mayer Steen Rasmussen | 130 |
Modeling Thymic Selection and Concomitant Immune Responses on CD4+ | 143 |
Artur Caetano António Grilo Agostinho Rosa | 151 |
Shugo Hamahashi Hiroaki Kitano | 161 |
Reconstruction of Extinct Animals in the Computer | 173 |
Attractiveness vs Efficiency How Mate Preference Affects Locomotion | 178 |
Effect of Environmental Structure on Evolutionary Adaptation | 189 |
Jeffrey A Fletcher Mark A Bedau Martin Zwick | 199 |
Didier Keymeulen Masaya Iwata Yasuo Kuniyoshi Tetsuya Higuchi | 209 |
Critical Exponent of SpeciesSize Distribution in Evolution | 221 |
Chris Adami Ryoichi Seki Robel Yirdaw | 228 |
Generic Behavior in the Lindgren NonSpatial Model of Iterated | 316 |
Artificial World for Social Interaction Studies | 326 |
A Continuous Evolutionary Simulation Model of the Attainability of Hon | 339 |
How Do Firms Transition between Monopoly and Competitive Behavior? | 349 |
Michael de la Maza Ayla Oğuş Deniz Yuret | 358 |
Stochasticity as a Source of Innovation in Language Games | 368 |
Edges and Computation in Excitable Media | 379 |
Artificial Evolution of Visually Guided Foraging Behaviour | 393 |
Simulating Multiple Emergent Phenomena Exemplified in an | 408 |
Models in Evolutionary Ecology and the Validation Problem | 423 |
Emergence and Maintenance of Relationships among Agents | 438 |
A Preliminary Investigation of Evolution as a Form Design Strategy | 443 |
SelfRegulation as the Basis | 457 |
Coevolving PursuitEvasion Strategies in Open and Confined | 472 |
Author Index | 489 |
Bieži izmantoti vārdi un frāzes
adaptive agents Anomalocaris Artificial average Bedau behavior biological broker cells cellular automata chemical cluster complexity computational concentration defined differentiation diffusion distribution diversity dominant Drosophila effects emergence energy environment environmental equilibrium evolution evolutionary algorithms evolutionary dynamics evolve example experiments factor fitness function fitness landscape gene genetic algorithm genome genotype handicap principle HIV-1 protease Hogeweg increase individual inhibitors initial input interaction Langton mean measures mechanism micelles modules molecular molecules mutation rate neural networks neuron neutral shadow nodes observed optimal organisms output parameters phenotypic population prediction predictors produce programs proneural properties protease protein punctuated equilibrium random randomly Redwood City replication reproduction robot rules SDSR loops selection sensory sequence shows signalling signalling game simple simulation space spatial species step stochasticity strategies structure swimbots target pattern tion transition Turing machine values variable