A Fuzzy Evolutionary System for Concept Formation and Adaptive Behaviour in Software Agents Export

@inproceedings{citeulike:2499608, abstract = {Software agent technology is currently based on fixed ontologies and languages, handcrafted for a particular application. The advent of massively distributed systems however calls for not only a common language between all agents involved but also the ability to autonomously adapt and form concepts about novel experiences and events. The authors proposed a method by which agents can autonomously form new concepts grounded in their own experience. This is an improvement on previous approaches because it can tackle a much wider range of conceptual types and provides an efficient, accurate representation, which can be used in a rule based system or conceptual framework. Furthermore, the method allowed an agent to simultaneously learn new concepts and the rules to govern its behaviour whilst providing a more robust system which is also adaptive}, author = {Langham, E.}, booktitle = {Fuzzy Systems, 2005. FUZZ '05. The 14th IEEE International Conference on}, citeulike-article-id = {2499608}, citeulike-linkout-0 = {http://dx.doi.org/10.1109/FUZZY.2005.1452467}, citeulike-linkout-1 = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1452467}, doi = {10.1109/FUZZY.2005.1452467}, journal = {Fuzzy Systems, 2005. FUZZ '05. The 14th IEEE International Conference on}, keywords = {anticipatory\_learning, evolutionary, fuzzy, ontology}, pages = {631--635}, posted-at = {2008-03-10 08:28:06}, priority = {0}, title = {A Fuzzy Evolutionary System for Concept Formation and Adaptive Behaviour in Software Agents}, url = {http://dx.doi.org/10.1109/FUZZY.2005.1452467}, year = {2005} }

TY - CONF ID - citeulike:2499608 L3 - citeulike-article-id:2499608 N2 - Software agent technology is currently based on fixed ontologies and languages, handcrafted for a particular application. The advent of massively distributed systems however calls for not only a common language between all agents involved but also the ability to autonomously adapt and form concepts about novel experiences and events. The authors proposed a method by which agents can autonomously form new concepts grounded in their own experience. This is an improvement on previous approaches because it can tackle a much wider range of conceptual types and provides an efficient, accurate representation, which can be used in a rule based system or conceptual framework. Furthermore, the method allowed an agent to simultaneously learn new concepts and the rules to govern its behaviour whilst providing a more robust system which is also adaptive JF - Fuzzy Systems, 2005. FUZZ '05. The 14th IEEE International Conference on EP - 635 TI - A Fuzzy Evolutionary System for Concept Formation and Adaptive Behaviour in Software Agents T2 - Fuzzy Systems, 2005. FUZZ '05. The 14th IEEE International Conference on SP - 631 KW - anticipatory_learning KW - evolutionary KW - fuzzy KW - ontology AU - Langham, E PY - 2005/// UR - http://dx.doi.org/10.1109/FUZZY.2005.1452467 ER -