Abstract
As agent-oriented paradigm is reaching a significant level of acceptance by software developers, there is a lack of integrated high-level abstraction tools for the design and development of agent-based applications. In an effort to mitigate this deficiency, we introduce Agent Academy, an integrated development framework, implemented itself as a multi-agent system, that supports, in a single tool, the design of agent behaviours and reusable agent types, the definition of ontologies, and the instantiation of single agents or multi-agent communities. In addition to these characteristics, our framework goes deeper into agents, by implementing a mechanism for embedding rule-based reasoning into them. We call this procedure “agent training” and it is realized by the application of AI techniques for knowledge discovery on application-specific data, which may be available to the agent developer. In this respect, Agent Academy provides an easy-to-use facility that encourages the substitution of existing, traditionally developed applications by new ones, which follow the agent-orientation paradigm.
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Mitkas, P.A., Kehagias, D., Symeonidis, A.L., Athanasiadis, I.N. (2004). A Framework for Constructing Multi-agent Applications and Training Intelligent Agents. In: Giorgini, P., Müller, J.P., Odell, J. (eds) Agent-Oriented Software Engineering IV. AOSE 2003. Lecture Notes in Computer Science, vol 2935. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24620-6_7
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DOI: https://doi.org/10.1007/978-3-540-24620-6_7
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