Title :
Learning agents for cooperative hyperinformation systems
Author :
Namatame, Akira ; Tsukamoto, Yoshiaki
Author_Institution :
Dept. of Comput. Sci., Nat. Defense Acad., Yokosuka, Japan
Abstract :
A model of learning agents is presented. It is shown how this model will support the incorporation of agents into distributed hypermedia systems. The question of self-organization in multi-agent systems in which agents are actively learning from their experience is addressed. Each agent, endowed with a different connectionist learning capability, behaves in a specific problem domain and is specialized to interact with environments. Each agent encapsulates a specific set of knowledge obtained from a different set of training examples. The issues relating to the composite and heterogeneous agent models are discussed. The hypermedia information system incorporating heterogeneous and composite learning agents is developed. The aim of this application is to develop the distributed intelligent hypermedia information system in an open environment of distributed workstations
Keywords :
cooperative systems; distributed databases; hypermedia; learning (artificial intelligence); neural nets; connectionist learning capability; cooperative hyperinformation systems; distributed hypermedia systems; distributed workstations; learning agents; open environment; training examples; Artificial intelligence; Computer science; Databases; Information retrieval; Information systems; Intelligent systems; Knowledge representation; Learning; Object oriented modeling; Workstations;
Conference_Titel :
Intelligent and Cooperative Information Systems, 1993., Proceedings of International Conference on
Conference_Location :
Rotterdam
Print_ISBN :
0-8186-3135-X
DOI :
10.1109/ICICIS.1993.291754
