Abstract
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.
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Author of the paper would like to thank the anonymous reviewers for their valuable comments and suggestions to improve the quality of the paper.
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Kılıç, H. (2018). An Agent Cooperation Model and Dependency Measurement Based on Merge & Synthesis on Shared Timed Task Environments. In: Kaenampornpan, M., Malaka, R., Nguyen, D., Schwind, N. (eds) Multi-disciplinary Trends in Artificial Intelligence. MIWAI 2018. Lecture Notes in Computer Science(), vol 11248. Springer, Cham. https://doi.org/10.1007/978-3-030-03014-8_24
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DOI: https://doi.org/10.1007/978-3-030-03014-8_24
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