Agent cloning: an approach to agent mobility and resource allocation

Shehory, Onn; Sycara, Katia; Chalasani, Prasad; Jha, Somesh

doi:10.1109/35.689632

Cited by 51 publications

(24 citation statements)

References 4 publications

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“…The agent cloning approach [25], also facilitate load-balancing through the use of matchmaking agents to advertise capabilities of e.g., underloaded agents. This allows overloaded agents to find underloaded once to which they may clone (migrate) themselves.…”

Section: Discussionmentioning

confidence: 99%

Messor: Load-Balancing through a Swarm of Autonomous Agents

Montresor

Meling

Babaoğlu

Lecture Notes in Computer Science

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Section: Discussionmentioning

confidence: 99%

Messor: Load-Balancing through a Swarm of Autonomous Agents

Montresor

Meling

Babaoğlu

Lecture Notes in Computer Science

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“…al., [12] on Agent Cloning, which is another approach to resource allocation and load balancing. In this approach, the authors present agent cloning as a possible response to agent overload -if an agent detects that it is overloaded and that there are spare (unused) resources in the system, the agent clones itself and gives its clone some part of its task load.…”

Section: Related Workmentioning

confidence: 99%

Organizational self-design in semi-dynamic environments

Kamboj¹,

Decker²

2007

Proceedings of the 6th International Joint Conference on Autonomous Agents and Multiagent Systems

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Abstract. Organizations are an important basis for coordination in multiagent systems. However, there is no best way to organize and all ways of organizing are not equally effective. Attempting to optimize an organizational structure depends strongly on environmental features including problem characteristics, available resources, and agent capabilities. If the environment is dynamic, the environmental conditions or the problem task structure may change over time. This precludes the use of static, design-time generated, organizational structures in such systems. On the other hand, for many real environments, the problems are not totally unique either: certain characteristics and conditions change slowly, if at all, and these can have an important effect in creating stable organizational structures. Organizational-Self Design (OSD) has been proposed as an approach for constructing suitable organizational structures at run-time. We extend the existing OSD approach to include worth-oriented domains, model other resources in addition to only processor resources and build in robustness into the organization. We then evaluate our approach against the contract-net approach and show that our OSD agents perform better, are more efficient and flexible to changes in the environmental constraints on the task structures.

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“…It exploits an adaptive trade-off of parallelism for time by composing and decomposing the agents and reallocating problem-solving knowledge. Shehory et al [17] present an abstract approach following the same ideas. In this approach overloaded agents may migrate, pass tasks to others, merge, or clone.…”

Section: Organization In Multiagent Systems and Social Insectsmentioning

confidence: 99%

“…Some critics to each of these definitions can be found in [16]. Several models of self-organizing multiagent systems have been presented [10,17,18]. However, most of them focus on adapting some specific aspects of the organization or on structure generation.…”

Section: Organization In Multiagent Systems and Social Insectsmentioning

confidence: 99%

A swarm based approach to adapt the structural dimension of agents' organizations

Ferreira¹,

Oliveira²,

Bazzan³

2005

J. Braz. Comp. Soc.

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One of the well studied issues in multi-agent systems is the standard action-selection problem where a goal task can be performed in different ways, by different agents. Also the sequence of these actions can influence the goal achievement or its quality. This class of problems has been tackled under different approaches. At the high-level coordination one, the specification of the organizational issues is crucial. However, in dynamic environments, agents must be able to adapt to the changing organizational goals, available resources, their relationships to the presence of another agents, and so on. This problem is a key one in multi-agent systems and relates to models of learning and adaptation, such as those observed among social insects. The present paper tackles the process of generating, adapting, and changing multi-agent organization dynamically at system runtime, using a swarm inspired approach. This approach is used here mainly for task allocation with low need of pre-planning and specification, and no need of explicit coordination. The results of our approach and another quantitative one are compared here and it is shown that in dynamic domains, the agents adapt to changes in the organization, just as social insects do.

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Agent cloning: an approach to agent mobility and resource allocation

Cited by 51 publications

References 4 publications

Messor: Load-Balancing through a Swarm of Autonomous Agents

Messor: Load-Balancing through a Swarm of Autonomous Agents

Organizational self-design in semi-dynamic environments

A swarm based approach to adapt the structural dimension of agents' organizations

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