Punctuated equilibria: a parallel genetic algorithm
Proceedings of the Second International Conference on Genetic Algorithms on Genetic algorithms and their application
Coordination of leg movement in walking animals
Proceedings of the first international conference on simulation of adaptive behavior on From animals to animats
Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Genetic programming (videotape): the movie
Genetic programming (videotape): the movie
Artificial neural nets for controlling a 6-legged walking system
Proceedings of the second international conference on From animals to animats 2 : simulation of adaptive behavior: simulation of adaptive behavior
An adaptive communication protocol for cooperating mobile robots
Proceedings of the second international conference on From animals to animats 2 : simulation of adaptive behavior: simulation of adaptive behavior
Dimensions of communication and social organization in multi-agent robotic systems
Proceedings of the second international conference on From animals to animats 2 : simulation of adaptive behavior: simulation of adaptive behavior
Evolving dynamical neural networks for adaptive behavior
Adaptive Behavior
The effect of parasitism on the evolution of a communication protocol an artificial life simulation
SAB94 Proceedings of the third international conference on Simulation of adaptive behavior : from animals to animats 3: from animals to animats 3
Automatic definition of modular neural networks
Adaptive Behavior
Efficient reinforcement learning through symbiotic evolution
Machine Learning - Special issue on reinforcement learning
Artificial Life
Learning Sequential Decision Rules Using Simulation Models and Competition
Machine Learning - Special issue on genetic algorithms
Classifier Systems that Learn Internal World Models
Machine Learning
A Coevolutionary Approach to Learning Sequential Decision Rules
Proceedings of the 6th International Conference on Genetic Algorithms
A Cooperative Coevolutionary Approach to Function Optimization
PPSN III Proceedings of the International Conference on Evolutionary Computation. The Third Conference on Parallel Problem Solving from Nature: Parallel Problem Solving from Nature
Loosely Coupled Distributed Genetic Algorithms
PPSN III Proceedings of the International Conference on Evolutionary Computation. The Third Conference on Parallel Problem Solving from Nature: Parallel Problem Solving from Nature
Emergent Cooperation for Multiple Agents Using Genetic Programming
PPSN IV Proceedings of the 4th International Conference on Parallel Problem Solving from Nature
Evolutionary Computing in Multi-agent Environments: Operators
EP '98 Proceedings of the 7th International Conference on Evolutionary Programming VII
Distributed Coevolutionary Genetic Algorithms for Multi-Criteria and Multi-Constraint Optimisation
Selected Papers from AISB Workshop on Evolutionary Computing
A learning system based on genetic adaptive algorithms
A learning system based on genetic adaptive algorithms
A Learning Classifier Systems Bibliography
Learning Classifier Systems, From Foundations to Applications
A Bigger Learning Classifier Systems Bibliography
IWLCS '00 Revised Papers from the Third International Workshop on Advances in Learning Classifier Systems
Proceedings of the 11th Annual Conference Companion on Genetic and Evolutionary Computation Conference: Late Breaking Papers
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In this paper we introduce three enhancements forevolutionary computing techniques in social environments. We describethe use of the genetic algorithm to evolve communicating rule-basedsystems, where each rule-based system represents an agent in asocial/multi-agent environment. It is shown that the evolution ofmultiple cooperating agents can give improved performance over theevolution of an equivalent single agent, i.e. non-social, system. Weexamine the performance of two social system configurations asapproaches to the control of gait in a wall climbing quadrupedalrobot, where each leg of the quadruped is controlled by acommunicating agent. We then introduce two social-leveloperators—speciation and symbiogenesis—which aim to reduce theamount of knowledge required a priori by automatically manipulatingthe system‘s social structure and describe their use in conjunctionwith the communicating rule-based systems. The reasons forimplementing these kinds of operators are discussed and we thenexamine their performance in developing the controller of thewall-climbing quadruped. We find that the use of such operators cangive improved performance over static population/agent configurations.