Pattern recognition: human and mechanical
Pattern recognition: human and mechanical
C4.5: programs for machine learning
C4.5: programs for machine learning
Advances in the Dempster-Shafer theory of evidence
Tolerance approximation spaces
Fundamenta Informaticae - Special issue: rough sets
Swarm intelligence: from natural to artificial systems
Swarm intelligence: from natural to artificial systems
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
Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
Rough Sets in Knowledge Discovery 2: Applications, Case Studies, and Software Systems
Rough Sets in Knowledge Discovery 2: Applications, Case Studies, and Software Systems
Rough-Neuro-Computing: Techniques for Computing with Words
Rough-Neuro-Computing: Techniques for Computing with Words
Rough Sets: Mathematical Foundations
Rough Sets: Mathematical Foundations
Towards an ontology of approximate reason
Fundamenta Informaticae
RSCTC '00 Revised Papers from the Second International Conference on Rough Sets and Current Trends in Computing
Proceedings of the Third International Conference on Rough Sets and Current Trends in Computing
TSCTC '02 Proceedings of the Third International Conference on Rough Sets and Current Trends in Computing
Towards Discovery of Information Granules
PKDD '99 Proceedings of the Third European Conference on Principles of Data Mining and Knowledge Discovery
Rough Sets and Decision Algorithms
RSCTC '00 Revised Papers from the Second International Conference on Rough Sets and Current Trends in Computing
In Pursuit of Patterns in Data Reasoning from Data The Rough Set Way
TSCTC '02 Proceedings of the Third International Conference on Rough Sets and Current Trends in Computing
Obstacle Classification by a Line-Crawling Robot: A Rough Neurocomputing Approach
TSCTC '02 Proceedings of the Third International Conference on Rough Sets and Current Trends in Computing
Information Granules in Distributed Environment
RSFDGrC '99 Proceedings of the 7th International Workshop on New Directions in Rough Sets, Data Mining, and Granular-Soft Computing
Line-crawling robot navigation: a rough neurocomputing approach
Autonomous robotic systems
Rough sets and infomorphisms: towards approximation of relations in distributed environments
Fundamenta Informaticae - Concurrency specification and programming
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
SysML for Systems Engineering
Rough sets and information granulation
IFSA'03 Proceedings of the 10th international fuzzy systems association World Congress conference on Fuzzy sets and systems
RSFDGrC'03 Proceedings of the 9th international conference on Rough sets, fuzzy sets, data mining, and granular computing
Flow graphs and decision algorithms
RSFDGrC'03 Proceedings of the 9th international conference on Rough sets, fuzzy sets, data mining, and granular computing
Rough sets: trends and challenges
RSFDGrC'03 Proceedings of the 9th international conference on Rough sets, fuzzy sets, data mining, and granular computing
RSFDGrC'05 Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part I
Approximation spaces and information granulation
Transactions on Rough Sets III
Spatio-Temporal Approximate Reasoning over Complex Objects
Fundamenta Informaticae - Concurrency Specification and Programming (CS&P 2004)
Reinforcement Learning with Approximation Spaces
Fundamenta Informaticae
Behavioral Pattern Identification Through Rough Set Modeling
Fundamenta Informaticae - SPECIAL ISSUE ON CONCURRENCY SPECIFICATION AND PROGRAMMING (CS&P 2005) Ruciane-Nide, Poland, 28-30 September 2005
Calculi of Approximation Spaces
Fundamenta Informaticae - SPECIAL ISSUE ON CONCURRENCY SPECIFICATION AND PROGRAMMING (CS&P 2005) Ruciane-Nide, Poland, 28-30 September 2005
Information in a Two-Stage Decision Process. General Idea and Classification
Fundamenta Informaticae
Biologically-inspired adaptive learning control strategies: A rough set approach
International Journal of Hybrid Intelligent Systems
Toward Approximate Adaptive Learning
RSEISP '07 Proceedings of the international conference on Rough Sets and Intelligent Systems Paradigms
INFLUENCE OF TEMPERATURE ON SWARMBOTS THAT LEARN
Cybernetics and Systems
Actor Critic Learning: A Near Set Approach
RSCTC '08 Proceedings of the 6th International Conference on Rough Sets and Current Trends in Computing
Hierarchical Classifiers for Complex Spatio-temporal Concepts
Transactions on Rough Sets IX
Optimization in Discovery of Compound Granules
Fundamenta Informaticae - Concurrency Specification and Programming (CS&P)
Toward Rough-Granular Computing
RSFDGrC '07 Proceedings of the 11th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing
Measuring Resemblances Between Swarm Behaviours: A Perceptual Tolerance Near Set Approach
Fundamenta Informaticae - Swarm Intelligence
Near sets: toward approximation space-based object recognition
RSKT'07 Proceedings of the 2nd international conference on Rough sets and knowledge technology
A wistech paradigm for intelligent systems
Transactions on rough sets VI
Toward perception based computing: a rough-granular perspective
WImBI'06 Proceedings of the 1st WICI international conference on Web intelligence meets brain informatics
Reduct based Q-learning: an introduction
Proceedings of the 2011 International Conference on Communication, Computing & Security
Rough sets in perception-based computing
PReMI'05 Proceedings of the First international conference on Pattern Recognition and Machine Intelligence
On-Line elimination of non-relevant parts of complex objects in behavioral pattern identification
PReMI'05 Proceedings of the First international conference on Pattern Recognition and Machine Intelligence
Automatic planning of treatment of infants with respiratory failure through rough set modeling
RSCTC'06 Proceedings of the 5th international conference on Rough Sets and Current Trends in Computing
Behavioral pattern identification through rough set modelling
RSFDGrC'05 Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part II
Measuring Resemblances Between Swarm Behaviours: A Perceptual Tolerance Near Set Approach
Fundamenta Informaticae - Swarm Intelligence
Information in a Two-Stage Decision Process. General Idea and Classification
Fundamenta Informaticae
Optimization in Discovery of Compound Granules
Fundamenta Informaticae - Concurrency Specification and Programming (CS&P)
Rough Set Approach to Behavioral Pattern Identification
Fundamenta Informaticae - New Frontiers in Scientific Discovery - Commemorating the Life and Work of Zdzislaw Pawlak
Near Sets. Special Theory about Nearness of Objects
Fundamenta Informaticae - New Frontiers in Scientific Discovery - Commemorating the Life and Work of Zdzislaw Pawlak
Reinforcement Learning with Approximation Spaces
Fundamenta Informaticae
Behavioral Pattern Identification Through Rough Set Modeling
Fundamenta Informaticae - SPECIAL ISSUE ON CONCURRENCY SPECIFICATION AND PROGRAMMING (CS&P 2005) Ruciane-Nide, Poland, 28-30 September 2005
Calculi of Approximation Spaces
Fundamenta Informaticae - SPECIAL ISSUE ON CONCURRENCY SPECIFICATION AND PROGRAMMING (CS&P 2005) Ruciane-Nide, Poland, 28-30 September 2005
Spatio-Temporal Approximate Reasoning over Complex Objects
Fundamenta Informaticae - Concurrency Specification and Programming (CS&P 2004)
A Domain Knowledge as a Tool For Improving Classifiers
Fundamenta Informaticae - To Andrzej Skowron on His 70th Birthday
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This article introduces an ethological approach to evaluating biologically-inspired collective behavior in intelligent systems. This is made possible by considering ethology (ways to explain agent behavior) in the context of approximation spaces. The aims and methods of ethology in the study of the behavior of biological organisms were introduced by Niko Tinbergen in 1963. The rough set approach introduced by Zdzisław Pawlak provides a ground for concluding to what degree a particular behavior for an intelligent system is a part of a set of behaviors representing a norm or standard. A rough set approach to ethology in studying the behavior of cooperating agents is introduced. Approximation spaces are used to derive action-based reference rewards for a swarm. Three different approaches to projecting rewards are considered as a part of a study of learning in real-time by a swarm. The contribution of this article is the introduction of an approach to rewarding swarm behavior in the context of an approximation space.