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...for the design and operation of environment-mediated multiagent systems. in particular, autonomic computing (ac...ability to demonstrate the benefits of
these systems with respect to some essential properties. therefore, we need a clear understanding of some key notions like
adaptivity, robustness, flexibility...
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...a multiagent system (mas) structures a software system as a set of autonomous agents that interact through a shared environ- ment. software architecture is generally considered as the structures of a system which comprise software elements and the relationships among the elements. so there is a clear connection between mas and...
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...in complex domains. however, this multiagent system paradigm introduces a number of new abstractions and design/development...to the analysis and design of such systems. second, we detail and extend the gaia methodology for the analysis and design of multiagent systems. gaia exploits the aforementioned organizational...
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...has been acknowledged as one of the principal issues in the realization of real-world multiagent systems. the literature proposes a number of solutions to this problem and...we consider interaction protocols as a means to coordinate multiagent systems. finally, we address the implicit coordination that the semantics of classic agent communication languages propose...
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...being regarded as rich sources of inspiration for engineering artificial systems, particularly when adopting the multiagent system (mas) paradigm. to promote a systematic reuse of mechanisms featured in self-organizing...mas metamodel, we pro- vide a complete characterization of each pattern according to a reference scheme: in particular we...
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...information-rich environments are the open environmentsthat characterize most of the modern applications of computing technology.the applications include...in the nature and variety of information they involve,but also in including a significant component that is beyond...
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a multiagent system is a distributed system where the agents or nodes...memory less. this memory-less property, together with the randomness of the external input, has allowed us to model multiagent systems using markov chains. in this...
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...ecological dynamics characterizes adaptive behavior as an emergent, self-organizing property of interpersonal interactions in complex social systems. the authors conceptualize and investigate...suggests that decisions and actions of agents in sports teams may be characterized as emergent, self-organizing properties, governed by laws of dynamical systems at the ecological scale. further...
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...two different experimental levels using a microscopic model and embodied simulations. results show that teams using a number of active workers dynamically controlled by one of the allocation algorithms achieve similar or better performances in aggregation than those characterized by a constant team size while using on average a considerably reduced number of agents over the whole aggregation...
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...world multi-agent applications. however, a key problem in such applications is that a well-understood computational model of argumentation is currently missing, making it difficult to investigate convergence and scalability of argumentation techniques, and to understand and characterize different collaborative nva strategies in a principled manner. to alleviate these...