Abstract
Soft Agent Computing (SAC) is a new branch of computational intelligence which draws together the ideas of soft computing with the agent paradigm. It is believed this union will deliver technology which inherits the benefits of both and thereby provide solutions which have some of the features of human cognition and the intuitive, system level, abstraction of agent technology. Notwithstanding the attraction of SAC it is recognised that there are many deep technical and philosophical issues yet to be solved. In this paper, we investigate a number of these issues from two different perspectives, agent characteristics and architectural. Then we present different abstraction layers of a SAC architecture and propose and describe a practical SAC system, based on the Beliefs-Desires-Intentions model. Finally, various aspects to be considered when building SAC systems are discussed and a number of potential research areas for further research are recommended.
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Mamdani, A., Sichanie, A.G., Pitt, J. (2000). Soft Agent Computing: Towards Enhancing Agent Technology with Soft Computing. In: Azvine, B., Nauck, D.D., Azarmi, N. (eds) Intelligent Systems and Soft Computing. Lecture Notes in Computer Science(), vol 1804. Springer, Berlin, Heidelberg. https://doi.org/10.1007/10720181_5
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DOI: https://doi.org/10.1007/10720181_5
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