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Experience-based integral reinforcement learning consensus for unknown multi-agent systems. [PDF]
Sci RepMa L, Zhao H, Chen Y, Gao Y, Yu H.
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Intelligent Multi-Agent Systems
2009Since the AAAI (http://www.aaai.org) Spring Symposium in 1994, intelligent software agents and agentbased systems became one of the most significant and exciting areas of research and development (R&D) that inspired many scientific and commercial projects.
Uros Krcadinac +3 more
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2003
In this chapter1 the single-agent (basic or turbo) ASMs of Chaps. 3 and 4 and the multi-agent synchronous ASMs of Chap. 5 are extended to asynchronous multi-agent ASMs and shown to be useful for the design and the analysis of distributed systems. In Sect. 6.1 we define async ASMs and illustrate them by characteristic distributed network algorithms (for
Egon Börger, Robert Stärk
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In this chapter1 the single-agent (basic or turbo) ASMs of Chaps. 3 and 4 and the multi-agent synchronous ASMs of Chap. 5 are extended to asynchronous multi-agent ASMs and shown to be useful for the design and the analysis of distributed systems. In Sect. 6.1 we define async ASMs and illustrate them by characteristic distributed network algorithms (for
Egon Börger, Robert Stärk
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Proceedings of the second international joint conference on Autonomous agents and multiagent systems - AAMAS '03, 2003
In the past decade, the multiagent systems have appeared as a new promising software paradigm. However, its succesful application is subject to the adoption of effective agent coordination techniques. In this paper, we consider a fuzzy logic based approach to agent coordination.
Gang Chen +3 more
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In the past decade, the multiagent systems have appeared as a new promising software paradigm. However, its succesful application is subject to the adoption of effective agent coordination techniques. In this paper, we consider a fuzzy logic based approach to agent coordination.
Gang Chen +3 more
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2018
Thus far we have studied agents as single entities interacting with the environment; in real life many problems can be solved much more quickly and efficiently when multiple agents collaborate to achieve a common goal.
Ibraheem K. Ibraheem, Aws Abdul Salam
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Thus far we have studied agents as single entities interacting with the environment; in real life many problems can be solved much more quickly and efficiently when multiple agents collaborate to achieve a common goal.
Ibraheem K. Ibraheem, Aws Abdul Salam
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Consensus in multi-agent systems
Wiley Encyclopedia of Electrical and Electronics Engineering, 2016Many cooperative behaviors of multi-agent teams emerge from local interactions among the agents, where an agent interacts with a few “adjacent” teammates, but has no information about the remaining agents. For instance, the selforganization of many biological populations – including swarms of insects, flocks of birds, and schools of fish – are based on
Proskurnikov, Anton V., Cao, Ming
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Proceedings of the 2005 International Conference on Active Media Technology, 2005. (AMT 2005)., 2005
Structurally, an agent is a bundle of sensors, decision-makers and actuators. Behaviorally, an agent is a mapping from an in-space (the set of things the agent can sense) to an out-space (the set of things the agent can affect). Cells, ants, computer programs, robots and people are examples of agents.
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Structurally, an agent is a bundle of sensors, decision-makers and actuators. Behaviorally, an agent is a mapping from an in-space (the set of things the agent can sense) to an out-space (the set of things the agent can affect). Cells, ants, computer programs, robots and people are examples of agents.
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2017
The term agent derives from the latin participle agens, coming from the verb agere that means to do and denotes the capability of an entity to do or to act. But in practice the term refers to multiple meanings in different contexts, like a human agent, a hardware agent, a chemical agent, etc.
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The term agent derives from the latin participle agens, coming from the verb agere that means to do and denotes the capability of an entity to do or to act. But in practice the term refers to multiple meanings in different contexts, like a human agent, a hardware agent, a chemical agent, etc.
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1997
Many important and useful applications for software agents require multiple agents on a network that communicate with each other. Such agents must find each other and perform a useful joint computation without having to know about every other such agent on the network. This paper describes Yenta, a matchmaker system designed to find people with similar
L. Foner, I. B. Crabtree
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Many important and useful applications for software agents require multiple agents on a network that communicate with each other. Such agents must find each other and perform a useful joint computation without having to know about every other such agent on the network. This paper describes Yenta, a matchmaker system designed to find people with similar
L. Foner, I. B. Crabtree
openaire +1 more source