An agent cooperation model and dependency measurement based on merge and synthesis on shared timed task environments

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Springer

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info:eu-repo/semantics/closedAccess

Özet

In this paper, we analyze cooperation phenomena based on agent synthesis on merge of timed two-input discrete transition systems. The model allows handling of possible incomplete task environment descriptions and representation of nondeterministic directive effects and/or deviating (or blocking) disturbances defined over agent capabilities. Also, we propose an agent dependency measure that uses the result of additive Merge&Synthesis operation for quantification purpose.

Açıklama

Kılıç, Hürevren (Dogus Author) -- Conference full title: 12th Multi-disciplinary International Conference on Artificial Intelligence, MIWAI 2018; Hanoi; Viet Nam; 18 November 2018 through 20 November 2018.

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Planning, Artificial Intelligence, AI Planning

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Multi-disciplinary trends in artificial intelligence

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11248

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Kılıç, H. (2018). An agent cooperation model and dependency measurement based on merge and synthesis on shared timed task environments. In Manasawee Kaenampornpan, Rainer Malaka, Duc Dung Nguyen, & Nicolas Schwind (Eds.), Multi-disciplinary trends in artificial intelligence (pp. 255-262). https://doi.org/10.1007/978-3-030-03014-8

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