An agent cooperation model and dependency measurement based on merge and synthesis on shared timed task environments
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Springer
Erişim Hakkı
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.
Anahtar Kelimeler
Planning, Artificial Intelligence, AI Planning
Kaynak
Multi-disciplinary trends in artificial intelligence
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Scopus Q Değeri
Cilt
11248
Sayı
Künye
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












