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Multiagent systems

by Katia P. Sycara - AI Magazine , 1998
"... ■ Agent-based systems technology has generated lots of excitement in recent years because of its promise as a new paradigm for conceptualizing, designing, and implementing software systems. This promise is particularly attractive for creating software that operates in environments that are distribu ..."
Abstract - Cited by 273 (5 self) - Add to MetaCart
is becoming apparent. Central to the design and effective operation of such multiagent systems (MASs) are a core set of issues and research questions that have been studied over the years by the distributed AI community. In this article, I present some of the critical notions in MASs and the research work

Developing Multiagent Systems: The Gaia Methodology

by Franco Zambonelli, Nicholas R. Jennings, Michael Wooldridge , 2003
"... Systems composed of interacting autonomous agents offer a promising software engineering approach for developing applications in complex domains. However, this multiagent system paradigm introduces a number of new abstractions and design/development issues when compared with more traditional appr ..."
Abstract - Cited by 389 (18 self) - Add to MetaCart
Systems composed of interacting autonomous agents offer a promising software engineering approach for developing applications in complex domains. However, this multiagent system paradigm introduces a number of new abstractions and design/development issues when compared with more traditional

MULTIAGENT SYSTEMS –

by Proseminar Adaptive Agenten, Betreuer Dipl. -inf, Christian Kroiß, An Introduction
"... ● Multiagent Systems are based on autonomous, intelligent agents: ..."
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● Multiagent Systems are based on autonomous, intelligent agents:

The dynamics of reinforcement learning in cooperative multiagent systems

by Caroline Claus, Craig Boutilier - IN PROCEEDINGS OF NATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE (AAAI-98 , 1998
"... Reinforcement learning can provide a robust and natural means for agents to learn how to coordinate their action choices in multiagent systems. We examine some of the factors that can influence the dynamics of the learning process in such a setting. We first distinguish reinforcement learners that a ..."
Abstract - Cited by 377 (1 self) - Add to MetaCart
Reinforcement learning can provide a robust and natural means for agents to learn how to coordinate their action choices in multiagent systems. We examine some of the factors that can influence the dynamics of the learning process in such a setting. We first distinguish reinforcement learners

MULTIAGENT SYSTEMS ENGINEERING

by Scott A. DeLoach, Mark F. Wood, Clint H. Sparkman , 2001
"... This paper describes the Multiagent Systems Engineering (MaSE) methodology. MaSE is a general purpose, methodology for developing heterogeneous multiagent systems. MaSE uses a number of graphically based models to describe system goals, behaviors, agent types, and agent communication interfaces. MaS ..."
Abstract - Cited by 136 (8 self) - Add to MetaCart
This paper describes the Multiagent Systems Engineering (MaSE) methodology. MaSE is a general purpose, methodology for developing heterogeneous multiagent systems. MaSE uses a number of graphically based models to describe system goals, behaviors, agent types, and agent communication interfaces. Ma

Multiagent systems

by Munindar P. Singh, Michael N. Huhns - Lectures in Artificial Intelligence 799 , 1994
"... Abstract Workflows are ubiquitous in business computing. They arise not only within an enterprise but increasingly across enterprises as well—in situations such as virtual enterprises and applications such as supply-chain management. Although the importance of workflows as a basis for understanding ..."
Abstract - Cited by 34 (1 self) - Add to MetaCart
. Agent technology promises to alleviate many of these problems and hence enable adaptive workflows in realistic settings. We consider interaction-oriented programming (IOP), an approach to software engineering based on multiagent systems that we have been developing. We focus on one aspect of IOP, which

Distributed Kalman Filtering for Multiagent Systems

by Zs. Lendek, B. De Schutter, Zs. Lendek, B. De Schutter, Distributed Kalman Filtering, Zs. Lendek, B. De Schutter
"... multiagent systems ∗ ..."
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multiagent systems ∗

Multiagent Systems

by Franco Zambonelli, The Tucson, Mars Infrastructures , 2005
"... System or “organizations ” of interacting autonomous agents Possibly distributed � over multiple computers and/or � in an environment Possibly belonging to different stakeholders or different organization � Composite multiagent systems � Open applications Collaborating and/or Competing � Striving at ..."
Abstract - Cited by 1 (0 self) - Add to MetaCart
System or “organizations ” of interacting autonomous agents Possibly distributed � over multiple computers and/or � in an environment Possibly belonging to different stakeholders or different organization � Composite multiagent systems � Open applications Collaborating and/or Competing � Striving

� Multiagent Systems 3 Multiagent Systems

by Franco Zambonelli, The Tucson, Mars Infrastructures , 2010
"... System or “organizations ” of interacting autonomous agents Possibly distributed � over multiple computers and/or � in an environment Possibly belonging to different stakeholders or different organization � Composite multiagent systems � Open applications Collaborating and/or Competing � Striving at ..."
Abstract - Add to MetaCart
System or “organizations ” of interacting autonomous agents Possibly distributed � over multiple computers and/or � in an environment Possibly belonging to different stakeholders or different organization � Composite multiagent systems � Open applications Collaborating and/or Competing � Striving

Multiagent Systems: A Survey from a Machine Learning Perspective

by Peter Stone, Manuela Veloso - AUTONOMOUS ROBOTS , 1997
"... Distributed Artificial Intelligence (DAI) has existed as a subfield of AI for less than two decades. DAI is ..."
Abstract - Cited by 372 (24 self) - Add to MetaCart
Distributed Artificial Intelligence (DAI) has existed as a subfield of AI for less than two decades. DAI is
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