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Titlebook: Environments for Multi-Agent Systems III; Third International Danny Weyns,H. Van Dyke Parunak,Fabien Michel Conference proceedings 2007 Sp

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https://doi.org/10.1007/978-3-540-71103-2AI agents; ALife agents; MAS; Monitor; adaptive agents; agent communication; agent environments; ant coloni
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https://doi.org/10.1007/978-94-009-0205-3GRE model and extend it with richer social concepts such as powers, norms and a dependency relationship which is similar to the . operator introduced by Searle to describe the construction of social reality. Our main contribution consists in the fact that we attribute to the environment the main rol
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Santu Malakar,Hema Gupta (Joshi)ution, (2) by their very dynamic nature and (3) by their complex functional and non-functional requirements. This family includes a.o. manufacturing control, traffic control and web service coordination. BDI-based agent architectures have proven their usefulness in building MASs for complex systems
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https://doi.org/10.1007/978-3-642-15494-2tion of ., as a basic abstraction to model and engineer objects, resources and tools designed to be used and manipulated by agents at run-time to support their working activities, in particular the cooperative ones. .. enables MAS engineers to design and develop suitable artifacts, and to extend exi
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Structural Biology of HIV Assembly,onment is also emerging as a first-order abstraction. Intuitively, the environment being a common medium for the agents, it should be a suitable paradigm to provide an infrastructure for both direct and indirect interactions. However, it still lacks of a consensus on how the two relate to each other
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Duality in Non Convex Variational Problems,e to others in the system to allow two types of interactions. Tag monitoring interactions let agents observe the tags of others actively. Tag fortuitous interactions make agents realize the tag of others with unrequested and application-dependent messages. In this paper we model tag interactions bas
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