Classifier systems and genetic algorithms
Artificial Intelligence
Automatic text processing: the transformation, analysis, and retrieval of information by computer
Automatic text processing: the transformation, analysis, and retrieval of information by computer
Incremental learning of rules and Meta-rules
Proceedings of the seventh international conference (1990) on Machine learning
Instance-Based Learning Algorithms
Machine Learning
C4.5: programs for machine learning
C4.5: programs for machine learning
A learning interface agent for scheduling meetings
IUI '93 Proceedings of the 1st international conference on Intelligent user interfaces
Collaborative interface agents
AAAI '94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 1)
Bottom-up induction of oblivious read-once decision graphs: strengths and limitations
AAAI '94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 1)
Machine learning, neural and statistical classification
Machine learning, neural and statistical classification
Proceedings of the ACM SIGCHI Conference on Human factors in computing systems
A probabilistic framework for memory-based reasoning
Artificial Intelligence
Detecting change in categorical data: mining contrast sets
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
A hybrid user model for news story classification
UM '99 Proceedings of the seventh international conference on User modeling
Analysis of a very large web search engine query log
ACM SIGIR Forum
Reduction Techniques for Instance-BasedLearning Algorithms
Machine Learning
Intelligent profiling by example
Proceedings of the 6th international conference on Intelligent user interfaces
Learning user interest dynamics with a three-descriptor representation
Journal of the American Society for Information Science and Technology
Evaluating topic-driven web crawlers
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Learning classifier systems: a complete introduction, review, and roadmap
Journal of Artificial Evolution and Applications
Inside Case-Based Reasoning
Advances in Instance Selection for Instance-Based Learning Algorithms
Data Mining and Knowledge Discovery
Web Search Using a Genetic Algorithm
IEEE Internet Computing
Qualitative Models as Indices for Memory-Based Prediction
IEEE Expert: Intelligent Systems and Their Applications
Machine Learning
ICDE '95 Proceedings of the Eleventh International Conference on Data Engineering
Agents' Advanced Features for Negotiation and Coordination
EASSS '01 Selected Tutorial Papers from the 9th ECCAI Advanced Course ACAI 2001 and Agent Link's 3rd European Agent Systems Summer School on Multi-Agent Systems and Applications
On the Limitations of Memory Based Reasoning
EWCBR '94 Selected papers from the Second European Workshop on Advances in Case-Based Reasoning
Behavior Networks for Continuous Domains using Situation-Dependent Motivations
IJCAI '99 Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence
Proceedings of the Fourteenth International Florida Artificial Intelligence Research Society Conference
Modeling adaptive autonomous agents
Artificial Life
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
WIC France Research Center Activity Report
WI '04 Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence
Coalition formation mechanism in multi-agent systems based on genetic algorithms
Applied Soft Computing
AttributeNets: an incremental learning method for interpretable classification
PAKDD'07 Proceedings of the 11th Pacific-Asia conference on Advances in knowledge discovery and data mining
Incremental learning in AttributeNets with dynamic reduct and IQuickReduct
RSKT'11 Proceedings of the 6th international conference on Rough sets and knowledge technology
Agent and multi-agent applications to support distributed communities of practice: a short review
Autonomous Agents and Multi-Agent Systems
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In this paper we discuss a new incremental learning approach used to implement adaptive behavior in autonomous agents. Adaptive agents must increase their performance based on experience using some learning approach. Often, incremental learning techniques like memory-based reasoning (MBR) are used. However, traditional MBR algorithms require an adequate (generally complex) measure of similarity, need much data and spend much time for computing similarities between examples. Such problems are unacceptable for autonomous agents that live in very dynamic environments, because they have little time to make decisions. Our approach does not use similarity measures between examples, classifies examples very fast and can compact data. We represent data as a concept graph (CG), each node representing a partition of the data. We propose an algorithm that uses the partitions to classify new examples. We compare our results with other techniques and conclude that the method performs quite well. Finally, we apply the approach to an application of adaptive agents for personalizing web search.