Toward a Practice of Autonomous Systems: Proceedings of the First European Conference on Artificial LifeFrancisco J. Varela, Paul Bourgine Artificial life embodies a recent and important conceptual step in modem science: asserting that the core of intelligence and cognitive abilities is the same as the capacity for living. The recent surge of interest in artificial life has pushed a whole range of engineering traditions, such as control theory and robotics, beyond classical notions of goal and planning into biologically inspired notions of viability and adaptation, situatedness and operational closure. These proceedings serve two important functions: they address bottom-up theories of artificial intelligence and explore what can be learned from simple models such as insects about the cognitive processes and characteristic autonomy of living organisms, while also engaging researchers and philosophers in an exciting examination of the epistemological basis of this new trend. Topics Contributors |
Contents
Artificial Life and Real Robots | 9 |
A Paradigm for Designing Autonomous Agents | 21 |
A Methodology for Autonomous | 31 |
An Adaptable Mobile Robot | 41 |
Learning Behavior Networks from Experience | 48 |
Characterizing Adaptation by Constraint | 58 |
On the SelfOrganizing Properties of Topological Maps | 64 |
An Approach to Temporal | 70 |
Darwins Continent Cycle Theory and Its Simulation by the Prisoners Dilemma | 236 |
Using MarkerBased Genetic Encoding of Neural Networks to Evolve FiniteState | 255 |
The Genetic Programming of Steerable Behaviors in GenNets | 272 |
A Model of Formal Neural Network for NonSupervised Learning and Recognition | 292 |
Parallel Genetic | 310 |
The Evolution of Sexual Selection and Female Choice | 327 |
A Basis for a Continuing SAGA | 346 |
Measuring the Evolving Complexity of StimulusResponse Organisms | 365 |
Neural Networks for Visual Tracking in an Artificial Fly | 78 |
An Approach to Sensorimotor Relevance | 88 |
Using Motor Actions for Location Recognition | 96 |
The Application of Temporal Difference Learning to the Neural Control of Quadruped | 105 |
SwarmMade Architectures | 123 |
Emergent Colonization in an Artificial Ecology | 143 |
A Behavioral Simulation Model for the Study of Emergent Social Structures | 161 |
Simulating CoEvolution with Mimetism | 179 |
Harvesting by a Group of Robots | 195 |
Immune Network and Adaptive Control | 217 |
The Historical and Epistemological Ground of von Neumanns Theory | 385 |
The Ethological Basis of Animal Learning | 399 |
The Connection between Al and Biology in the Study of Behaviour | 421 |
Selectionist Systems as Cognitive Systems | 441 |
Looking at Life | 448 |
Is Artificial Life Possible? | 466 |
Some Epistemological Implications of Devices Which Construct Their Own Sensors | 484 |
Artificial Life or Surreal Art? | 504 |
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Common terms and phrases
action activity adaptive agent ALife allele animal animats approach architecture Artificial Intelligence Artorg automata autonomous systems average beacon behavior biological bits cell cognitive complex components concept constraints creature crossover cycles defined described distribution dynamical systems dynamics effect emergent encoding environment epistasis Eurisko evolution evolutionary evolve example Figure fitness fitness landscapes function gene Genetic Algorithms genetic operators genetic programming genotype global implemented individual initial input interaction internal lambda Langton learning machine Machine Learning mechanisms mobile robot module mutation rates natural neural networks neurons node object operator optimization organisms output panmictic parallel parameters performance population possible problem PROGN2 random reinforcement reinforcement learning representation rules S-expressions schemas Science selection sensors sequence signal simple simulation space specific strategy structure subsumption architecture swarm Swarm Intelligence target task theoretical theory tion units Varela variable vector weight