Evolution and co-evolution of computer programs to control independently-acting agents
Proceedings of the first international conference on simulation of adaptive behavior on From animals to animats
Swarm intelligence: from natural to artificial systems
Swarm intelligence: from natural to artificial systems
Introduction to Multiagent Systems
Introduction to Multiagent Systems
Self-Organization in Biological Systems
Self-Organization in Biological Systems
Ant Colony Optimization
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We propose to investigate the concept of an Emergent Programming Environment enabling the development of complex adaptive systems. This is done as a means to tackle the problems of the growth in complexity of programming, increasing dynamisms in artificial systems and environments, and the lack of knowledge about difficult problems and their solutions. For this we use as a foundation the concept of emergence and a multi-agent system technology based on cooperative self-organizing mechanisms. The general objective is then to develop a complete programming language in which each instruction is an autonomous agent trying to be in a cooperative state with the other agents of the system, as well as with the environment of the system. By endowing these instruction-agents with self-organizing mechanisms, we obtain a system able to continuously adapt to the task required by the programmer (i.e. to program and re-program itself depending on the needs). The work presented here aims at showing the feasibility of such a concept by specifying, and experimenting with, a core of instruction-agents needed for a sub-set of mathematical calculus.