Genetic programming II: automatic discovery of reusable programs
Genetic programming II: automatic discovery of reusable programs
Tolerance approximation spaces
Fundamenta Informaticae - Special issue: rough sets
Readings in agents
Layered Learning in Multiagent Systems: A Winning Approach to Robotic Soccer
Layered Learning in Multiagent Systems: A Winning Approach to Robotic Soccer
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
Pattern Recognition and Neural Networks
Pattern Recognition and Neural Networks
Rough-Fuzzy Hybridization: A New Trend in Decision Making
Rough-Fuzzy Hybridization: A New Trend in Decision Making
Advances in Distributed and Parallel Knowledge Discovery
Advances in Distributed and Parallel Knowledge Discovery
Toward Intelligent Systems: Calculi of Information Granules
Proceedings of the Joint JSAI 2001 Workshop on New Frontiers in Artificial Intelligence
Decomposition of Task Specification Problems
ISMIS '99 Proceedings of the 11th International Symposium on Foundations of Intelligent Systems
RSCTC '00 Revised Papers from the Second International Conference on Rough Sets and Current Trends in Computing
Approximate Reasoning by Agents
CEEMAS '01 Revised Papers from the Second International Workshop of Central and Eastern Europe on Multi-Agent Systems: From Theory to Practice in Multi-Agent Systems
Information Granule Decomposition
Fundamenta Informaticae - Concurrency Specification and Programming (CS&P'2000)
Fuzzy logic = computing with words
IEEE Transactions on Fuzzy Systems
Toward Intelligent Systems: Calculi of Information Granules
Proceedings of the Joint JSAI 2001 Workshop on New Frontiers in Artificial Intelligence
Approximate Reasoning by Agents
CEEMAS '01 Revised Papers from the Second International Workshop of Central and Eastern Europe on Multi-Agent Systems: From Theory to Practice in Multi-Agent Systems
An agent model for rough classifiers
Applied Soft Computing
Artificial Intelligence Review
Utilizing BDI Agents and a Topological Theory for Mining Online Social Networks
Fundamenta Informaticae - To Andrzej Skowron on His 70th Birthday
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We present an approach to approximate reasoning by agents in distributed environments based on calculi of information granules. Approximate reasoning schemes are basic schemes of information granule construction. An important property of such schemes is their robustness with respect to input deviations. In distributed environments, such schemes are extended to rough neural networks that transform information granules into information granules rather than vectors of real numbers into (vectors of) real numbers. Problems of learning in rough neural networks from experimental data and background knowledge are outlined.