Abstract
The definition of an agent still needs to be agreed upon [1] and the use of multiple agents to form a team is being examined by many researchers [2]. The study of Artificial Intelligence (AI) is diverse because of each domain has encountered a bottleneck or some impasse has forced research to look further a field to find solutions [3]. Agent teaming was one of those choices. Each team consists of one or more agent which form a Multi-Agent System (MAS) [4]. Currently these have a fixed hierarchy and predetermined functionality to achieve specified goals [5]. Ideally that teams should seamlessly interoperate within its environment, autonomously adapt to new tasks and rapidly switch context as required. Learning, cooperation, collaboration and trust are other characteristics that deserve discussion and development, however, the above challenge would represent a significant leap in the natural progression to agent oriented programming.
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Tweedale, J., Jain, L. (2009). The Evolution of Intelligent Agents within the World Wide Web. In: Nguyen, N.T., Jain, L.C. (eds) Intelligent Agents in the Evolution of Web and Applications. Studies in Computational Intelligence, vol 167. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88071-4_1
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DOI: https://doi.org/10.1007/978-3-540-88071-4_1
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