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An Analysis of Software Agents, Environ-ments and Applications School (WESAAC): Retrospective, Relevance, and Trends
2017
Advances in Distributed Computing and Artificial Intelligence Journal
The identification of the users' activities in the environment, the contextual information observed by the agents and the request for services between them, generate inputs for the artificial agents that are part of the MAS, generating perceptions and determining the agents' internal plans of action. These plans implement the decision-making of agents and are interpreted by internal architectures such as BDI (Beliefs, Desires and Intensions) (Wooldridge, 2009), determining when and how to
doi:10.14201/adcaij201761932
fatcat:dabuafrlwzclnddcicgrjqz27q