An agent cooperation model and dependency measurement based on merge & synthesis on shared timed task environments
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Springer Verlag
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. © Springer Nature Switzerland AG 2018.
Açıklama
12th Multi-disciplinary International Conference on Artificial Intelligence, MIWAI 2018 -- 18 November 2018 through 20 November 2018 -- -- 220819
Anahtar Kelimeler
Agent dependency measurement, Agent merge & synthesis, Timed task environments, Two input transition systems, Artificial intelligence, Agent cooperation, Agent synthesis, Directive effect, Discrete transitions, Input transition, Measurement-based, Task environment, Mergers and acquisitions
Kaynak
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Cilt
11248 LNAI












