Evaluation of Symbolic and Connectionist Approaches in a Multi-agent System

J. M. Corchado, B. Lees

The aim of this project is to design a multi-agent system for resource allocation. The problem addressed in this work is that of allocating the most appropriate academic member of staff to supervise an undergraduate or postgraduate project. The system employs case based reasoning and neural networks agents. The system design is influenced by the agent architecture proposed by the Knowledge Sharing Effort, using the Knowledge, Query and Manipulation Language for agent communication, this is an Internet agent based system, designed using HTML, Perl and Visual C++, that requires a WWW server and the help of web browsers.


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