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Titlebook: Engineering Multi-Agent Systems; Third International Matteo Baldoni,Luciano Baresi,Mehdi Dastani Conference proceedings 2015 Springer Inte

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Special Economic Zones in Russia,ribe a mapping from business process models to multi-agent systems that can be applied to different agent frameworks and languages. Using the same mapping, we created three semantically equivalent and interoperable implementations suiting different areas of application.
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A Probabilistic BPMN Normal Form to Model and Advise Human Activitiess based on Activity Theory that can be transformed to a Causal Bayesian Network, which in turn can be used to model the behavior of activity participants and assess human decision through user agents. We illustrate our approach on an Elderly health care scenario obtained from an actual contextual study.
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Quantitative Analysis of Multiagent Systems Through Statistical Model Checking, statistical model checking can be used to answer interesting quantitative correctness properties about multiagent systems on different observational levels. We illustrate the idea with a simple case study from the area of swarm robotics.
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Programming Mirror Worlds: An Agent-Oriented Programming Perspectivet mixed-reality and augmented systems. In this paper we focus on the problem of how to concretely design and program mirror worlds, in particular adopting high-level programming abstractions that are provided by state-of-the-art agent-oriented programming models and technologies.
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Evaluating Different Concurrency Configurations for Executing Multi-Agent Systemsn variables like deliberation time and response time. As a result, we identify the advantages and disadvantages for each configuration allowing thus an MAS developer to choose a suitable configuration depending upon the priorities of the application.
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