SAMON: Communication, Cooperation and Learning of Mobile Autonomous Robotic Agents
ICTAI '99 Proceedings of the 11th IEEE International Conference on Tools with Artificial Intelligence
Theoretical Computer Science
| Hi-index | 0.00 |
The paper concentrates on the problem how to integrate genetic programming, neural networks, autonomous agents with some symbolic AI techniques. For this purpose, it introduces and employs the -calculus, which is a general model of computation with a quantitative aspect (cost) allowing naturally to express optimization and modification in dynamic parallel AI systems. The papers presents basic operators of the calculus, and a basic inference engine, so called modifying algorithm, used for problem solving. Next the approach is illustrated through a series of examples from various domains, including symbolic and subsymbolic systems. Keywords: symbolic and subsymbolic AI, genetic programming, neural networks, process algebra, -calculus, cost functions, inference engine, simple modifying algorithm