NDLI: A Swarm Based Approach for Task Allocation in Dynamic Agents Organizations

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A Swarm Based Approach for Task Allocation in Dynamic Agents Organizations

Content Provider	ACM Digital Library
Author	de Oliveira, Denise Bazzan, Ana L. C. Ferreira Jr., Paulo R.
Abstract	One of the well-studied issues in multi-agent systems is the standard action-selection and sequencing problem where a goal task can be performed in different ways, by different agents.Tasks have constraints while agents have different characteristics such as capacity, access to resources, motivations, etc. This class of problems has been tackled under different approaches. Moreover, in open, dynamic environments, agents must be able to adapt to the changing organizational goals, available resources, their relationships to 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 multiagent 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.
Starting Page	1252
Ending Page	1253
Page Count	2
File Format	PDF
ISBN	1581138644
DOI	10.1109/AAMAS.2004.33
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2004-07-19
Access Restriction	Subscribed
Content Type	Text
Resource Type	Article

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