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Consensus of Heterogeneous LTI Agents
IEEE Transactions on Automatic Control, 2012A robust stability criterion is derived for a class of higher order consensus algorithms. In distinction to the standard consensus problem where the dynamics of all individual agents are the same and of low dimension, the criterion for reaching consensus now depends on the full spectrum of the communication graph and not only the largest nonzero ...
Ulf T. Jönsson, Chung-Yao Kao
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Taming heterogeneous agent architectures
Communications of the ACM, 2008Using aspect-oriented techniques to construct high-quality multi-agent systems.
Alessandro Garcia 0001 +1 more
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Prisoner's dilemma on graphs with heterogeneous agents
Proceedings of the 11th Annual Conference Companion on Genetic and Evolutionary Computation Conference: Late Breaking Papers, 2009Prisoner's dilemma (PD) game has been used as a prototypical model for studying social choice situations with self-interested agents. Although in a single shot PD game, both players playing defect is a Nash equilibrium, in social settings, cooperation among self-interested agents is usually observed.
Lingzhi Luo +2 more
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Collaboration of heterogenous metaheuristic agents
2010 Fifth International Conference on Digital Information Management (ICDIM), 2010Collaboration of metaheuristic agents remains as a problem, which attracts challenges to overcome in order to manage a better collaboration in problem solving methodologies. Swarm intelligences techniques have been tried as collaborating methods with good records for homogeneous metaheuristic agents.
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Towards Heterogeneous Agent Teams
2001Agent integration architectures enable a heterogeneous, distributed set of agents to work together to address problems of greater complexity than those addressed by the individual agents themselves. Unfortunately, integrating software agents and humans to perform real-world tasks in a large-scale system remains difficult, especially due to two key ...
Milind Tambe, David V. Pynadath
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Estimation of asset demands by heterogeneous agents
European Journal of Operational Research, 2005zbMATH Open Web Interface contents unavailable due to conflicting licenses.
D'Ecclesia, Rita L. +3 more
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2000
After a discussion of the theory of software agents, this book presents IMPACT (Interactive Maryland Platform for Agents Collaborating Together), an experimental agent infrastructure that translates formal theories of agency into a functional multiagent system that can extend legacy software code and application-specific or legacy data structures.
V. S. Subrahmanian +6 more
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After a discussion of the theory of software agents, this book presents IMPACT (Interactive Maryland Platform for Agents Collaborating Together), an experimental agent infrastructure that translates formal theories of agency into a functional multiagent system that can extend legacy software code and application-specific or legacy data structures.
V. S. Subrahmanian +6 more
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Searching by heterogeneous agents
Journal of Computer and System Sciences, 2021In this work we introduce and study a pursuit-evasion game in which the search is performed by heterogeneous entities. We incorporate heterogeneity into the classical edge search problem by considering edge-labeled graphs: once a search strategy initially assigns labels to the searchers, each searcher can be only present on an edge of its own label. We
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Modelling Heterogeneity in Multi Agent Systems
2002The aim of this paper is to consider the issue of heterogeneity in modelling complex systems through a multi agent perspective. Complex systems are often characterized by a high degree of heterogeneity of the involved components and by their natural aggregation in communities representing different views of the same system.
Bandini, S, Manzoni, SL, SIMONE, CARLA
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AEA Papers and Proceedings
Heterogeneous agent models have become central to modern macroeconomic research, often replacing the representative agent framework. However, what is core for these frameworks is the use of microfoundations that involve optimizing behavior. The strength of heterogeneous agent models lies in their ability to address questions where heterogeneity is ...
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Heterogeneous agent models have become central to modern macroeconomic research, often replacing the representative agent framework. However, what is core for these frameworks is the use of microfoundations that involve optimizing behavior. The strength of heterogeneous agent models lies in their ability to address questions where heterogeneity is ...
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