Case-Based Learning: Beyond Classification of Feature Vectors
ECML '97 Proceedings of the 9th European Conference on Machine Learning
Is it an Agent, or Just a Program?: A Taxonomy for Autonomous Agents
ECAI '96 Proceedings of the Workshop on Intelligent Agents III, Agent Theories, Architectures, and Languages
On cooperation in multi-agent systems
The Knowledge Engineering Review
The Description Logic Handbook
The Description Logic Handbook
Role-based design of computational intelligence multi-agent system
Proceedings of the International Conference on Management of Emergent Digital EcoSystems
Modeling data mining processes in computational multi-agent systems
Proceedings of the International Conference on Management of Emergent Digital EcoSystems
Evolving decision strategies for computational intelligence agents
ICIC'12 Proceedings of the 8th international conference on Intelligent Computing Theories and Applications
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In this paper we present an approach where a hybrid computational model is represented as a set of communicating agents composing a multi-agent system. A general concept of representation of connected groups of agents is introduced and utilized for automatic building of schemes to solve a given computational task. We propose a combination of an evolutionary algorithm and a formal logic resolution system which is able to generate and verify new schemes. Furthermore, the adaptive cooperation support of individual computational agents is described, which improves their efficiency in time. These features are implemented within a software system and demonstrated on several examples.