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

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Springer Verlag

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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. © 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

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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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11248 LNAI

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Onay

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