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Coordination Techniques for Distributed Artificial Intelligence
, 1996
"... Coordination, the process by which an agent reasons about its local actions and the (anticipated) actions of others to try and ensure the community acts in a coherent manner, is perhaps the key problem of the discipline of Distributed Artificial Intelligence (DAI). In order to make advances it is im ..."
Abstract
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Cited by 116 (1 self)
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Coordination, the process by which an agent reasons about its local actions and the (anticipated) actions of others to try and ensure the community acts in a coherent manner, is perhaps the key problem of the discipline of Distributed Artificial Intelligence (DAI). In order to make advances
Distributed Artificial Intelligence
"... In this paper we make three main contributions (fully de-tailed in [5]). Firstly, we formulate a new algorithm, the so-called Action-GDL, which extends GDL [1] to apply it to Distributed Constraint Optimization Problems (DCOPs). Secondly, we show that Action-GDL generalizes DPOP[4], a low-complexity ..."
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In this paper we make three main contributions (fully de-tailed in [5]). Firstly, we formulate a new algorithm, the so-called Action-GDL, which extends GDL [1] to apply it to Distributed Constraint Optimization Problems (DCOPs). Secondly, we show that Action-GDL generalizes DPOP[4], a low
Applications of Distributed Artificial Intelligence in Industry
, 1994
"... In many industrial applications, large centralized software systems are not as effective as distributed networks of relatively simpler computerized agents. For example, to compete effectively in today's markets, manufacturers must be able to design, implement, reconfigure, resize, and maintain ..."
Abstract
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Cited by 36 (1 self)
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for Distributed Artificial Intelligence (DAI), giving special attention to systems for manufacturing scheduling and control. It describes a taxonomy of such systems, gives case studies of several advanced research applications and actual industrial installations, and identifies steps that need to be taken
Multi-Agent Distributed Artificial Intelligence
"... relatively new but growing body of research in AI, is based on a different model than traditional artificial intelligence. DAI is a subfield of artificial intelligence that attempts to construct intelligent agents that make decisions allowing them to achieve their goals. It deals with interactions o ..."
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or increasing the knowledge of a single agent by implementing concept of Multi agent into it. Index Terms- Distributed artificial intelligence, learning, multi-agent, reasoning about others, single-agent.
Integrating Uncertainty Handling Formalisms in Distributed Artificial Intelligence
- Proceedings of the 2nd European Conference on Symbolic and Quantitative Approaches to Reasoning and Uncertainty
, 1993
"... . In distributed artificial intelligence systems it is important that the constituent intelligent systems communicate. This may be a problem if the systems use different methods to represent uncertain information. This paper presents a method that enables systems that use different uncertainty handl ..."
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Cited by 3 (3 self)
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. In distributed artificial intelligence systems it is important that the constituent intelligent systems communicate. This may be a problem if the systems use different methods to represent uncertain information. This paper presents a method that enables systems that use different uncertainty
Concurrent Programming for Distributed Artificial Intelligence
, 1999
"... Introduction The increasing performance and decreasing cost of processors and computer networks has continued to fuel an explosion of interest in solving larger problems using concurrent computing. In particular, agent-based programming has emerged as a promising paradigm which may help realize Arti ..."
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Cited by 15 (7 self)
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Arti cial Intelligence through distributed problem solving. Agents are persistent and goal directed entities that may move between hosts in response to changes in requirements such as security and eciency, and that would normally be limited in the computational resources they may employ in pursuing
Abstract Research in Distributed Artificial Intelligence is
"... concerned with how automated agents can be designed to interact effectively. One important capability that could aid inter-agent cooperation would be that of negotiation: agents could be built that are able to communicate their respective desires and compromise to reach mutually beneficial agreement ..."
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agents have only partial information, assumptions of greater interest for artificial intelligence. A novel, stable, negotiation protocol is introduced for the case of agents who are able to share a discrete set of tasks with one another. The case of agents who may lie to one another during
[Distributed Artificial Intelligence]:Multiagent systems
"... Distributed W-Learning (DWL) is a reinforcement learning-based algorithm for multi-policy optimization in agent-based systems. In this poster we propose the use of DWL for de-centralized multi-policy optimization in autonomic systems. Using DWL, agents learn and exploit the dependencies be-tween the ..."
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Distributed W-Learning (DWL) is a reinforcement learning-based algorithm for multi-policy optimization in agent-based systems. In this poster we propose the use of DWL for de-centralized multi-policy optimization in autonomic systems. Using DWL, agents learn and exploit the dependencies be
[Computing Methodologies]: Distributed Artificial Intelligence—
"... High reliability and availability are of utmost importance to the majority of today’s software-based systems. Typically, some kind of redundancy is used in order to achieve high reliability and availability in case of faults. Dynamic redundancy setups employ backup systems which take over as soon as ..."
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High reliability and availability are of utmost importance to the majority of today’s software-based systems. Typically, some kind of redundancy is used in order to achieve high reliability and availability in case of faults. Dynamic redundancy setups employ backup systems which take over as soon as the primary system fails. Additionally, central fault tolerance management systems are often used to guide the replication process. In this paper, we present an approach which relies on emergent fault-tolerance. The desired behavior is the result of local reconfigurations of self-organizing agents. This allows us to abandon the classical distinction of primary and backup systems as well as the need for a central management system. Our experimental results show the benefit of our approach. Categories and Subject Descriptors
Object-Based Concurrent Programming and Distributed Artificial Intelligence
- Distributed Artificial Intelligence: Theory and Praxis
, 1992
"... This paper presents some aspects of our studies of the conceptual and implementation relationships between Object-Based Concurrent Programming (OBCP) and Distributed Artificial Intelligence (DAI). The basic argument of this paper is that to implement DAI systems we should find complementary relation ..."
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Cited by 13 (1 self)
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This paper presents some aspects of our studies of the conceptual and implementation relationships between Object-Based Concurrent Programming (OBCP) and Distributed Artificial Intelligence (DAI). The basic argument of this paper is that to implement DAI systems we should find complementary
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