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Multiagent systems
- 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
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Cited by 273 (5 self)
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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
, 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
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Cited by 389 (18 self)
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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
The dynamics of reinforcement learning in cooperative multiagent systems
- 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
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Cited by 377 (1 self)
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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
, 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
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Cited by 136 (8 self)
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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
- 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
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Cited by 34 (1 self)
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. 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
Multiagent Systems
, 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 ..."
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Cited by 1 (0 self)
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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
, 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 ..."
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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
- AUTONOMOUS ROBOTS
, 1997
"... Distributed Artificial Intelligence (DAI) has existed as a subfield of AI for less than two decades. DAI is ..."
Abstract
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Cited by 372 (24 self)
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Distributed Artificial Intelligence (DAI) has existed as a subfield of AI for less than two decades. DAI is
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