Delegated negotiation for resource re-allocation

Lenting, Jacques H. J.; Braspenning, Peter J.

doi:10.1007/bfb0019014

Cited by 4 publications

(10 citation statements)

References 7 publications

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“…Computational markets are based on computational agents . Computational markets have been suggested as a solution to complex resource allocation, scheduling, and optimization problems (Kurose and Simha, 1989; Lenting and Braspenning, 1993;Gagliano et al, 1995). sketch how direct load management can be modeled as a computational market.…”

Section: Related Researchmentioning

confidence: 99%

Developing a Near-optimal Lowest-consumption Tunnel Lighting System Using Software Agents through Power Line Communications

Protogeros¹,

Syleos²,

Economides³

et al. 2007

CIT

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This paper describes an innovative Energy Consumption Management System (ECMS) that is aimed at rationalizing the end use of the electrical energy in tunnel lighting. It is based on agent technologies and Power Line Communications to achieve lowest consumption lighting conditions in an optimal way. Depending on the type of application, the system would lead also to reduced installation and running costs, especially as far as lighting systems are concerned.

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Section: Related Researchmentioning

confidence: 99%

Developing a Near-optimal Lowest-consumption Tunnel Lighting System Using Software Agents through Power Line Communications

Protogeros¹,

Syleos²,

Economides³

et al. 2007

CIT

View full text Add to dashboard Cite

show abstract

“…Global coherence is to be achieved through negotiation as a mechanism for interaction, task decomposition and the common language shared by all agents [4]. However, it has been noted that if tasks cannot be decomposed into independent subtasks then the synthesis of results is problematic [1] [17]. The synthesis of results is one dimension of global coherence, and hence we must doubt whether the mechanisms identified in [4] can guarantee global coherence.…”

Section: The Contract Netmentioning

confidence: 99%

“…A concrete example of the use of the contract net for resource allocation is given in [17]. We now present a knowledge level analysis of the same example and contrast the results.…”

Section: The Contract Netmentioning

confidence: 99%

“…The selection processes may simply be dependent on the order of elements in the sets, and under this assumption the formalisation produces the behaviour described in ( [17] p301) for a simple contract net approach to the assignment problem.…”

Section: The Contract Netmentioning

confidence: 99%

“…It has been observed [17] that the quality of the global solution is improved if agents have information regarding the overall scarcity of resources. This requires that agents should not make decisions on purely local information.…”

Section: The Contract Netmentioning

confidence: 99%

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A knowledge level characterisation of multi-agent systems

Aitken

Schmalhofer

Shadbolt

1995

Lecture Notes in Computer Science

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Abstract. This paper presents a knowledge-based analysis of a number of multi-agent systems. The analysis is based on the knowledge level hypothesis of Newell and Clancey. We claim that the models of problem solving which we obtain constitute descriptions of global coherence in multi-agent systems. We contrast the results of this analysis with the conventional views of coherence. IntroductionOne objective in the design of multi-agent systems (MAS) is for an agent to coordinate its actions with other agents in a coherent way. we propose a knowledge-based analysis of coherence in distributed systems in which the resulting models can be formally specified.The formal approaches typically combine two intentional attitudes: an information attitude and a pro-attitude (a definition of these terms and an introduction to the various formal approaches can be found in the review chapter of this volume). There are two objectives in the formal specification of multiagent systems. Firstly, formalisation increases our understanding of multi-agent interactions by making intuitive concepts such as common knowledge and group intention more precise and revealing new relationships between them. Secondly, the ability to verify the behaviour of a real multi-agent system requires the existence of a formal model against which it can be compared. Achieving the second objective also entails being able to describe existing MAS in terms of the language and concepts of the formalism, this, however, can be problematic. One example is the concept of common knowledge [11] which can be shown to be prerequisite for agreement among agents, but which defines a situation which cannot be achieved in practice. 3 * This work was supported by DAAD Stipendium number 513 009 0293 at the DFKI, Kaiserslautern, Germany 3 A modified concept of common knowledge can be achieved by real systems, for a fuller discussion see [11]

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Distributed Constraint Satisfaction in NEDIP

Hahndel¹

1998

IFAC Proceedings Volumes

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Delegated negotiation for resource re-allocation

Cited by 4 publications

References 7 publications

Developing a Near-optimal Lowest-consumption Tunnel Lighting System Using Software Agents through Power Line Communications

Developing a Near-optimal Lowest-consumption Tunnel Lighting System Using Software Agents through Power Line Communications

A knowledge level characterisation of multi-agent systems

Distributed Constraint Satisfaction in NEDIP

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