Decentralized control of cooperative and autonomous agents for solving the distributed resource allocation problem [An article from: International Journal of Production Economics]
Book Details
PublisherElsevier
ISBN / ASINB000RR5YKC
ISBN-13978B000RR5YK7
AvailabilityAvailable for download now
MarketplaceUnited States 🇺🇸
Description
This digital document is a journal article from International Journal of Production Economics, published by Elsevier in . The article is delivered in HTML format and is available in your Amazon.com Media Library immediately after purchase. You can view it with any web browser.
Description:
This paper focuses on the decision-making mechanism of coordination protocol for a multi-agent system in collaborative, distributed environment requiring resource allocation solutions. The model of distributed collaboration network (DCN) for distributed resource allocation is developed. The use of monitored viability of each agent as a feedback for the agent's reflexivity and goal adjustment mechanisms during the coordination process is introduced. Question: Will (can) a multi-agent system, as a whole, achieve efficient resource allocations, when each agent makes independent decisions, adjusted by feedback of its own viability measure to maximize its own goal based on limited information about the entire system? To investigate this question, experiments were conducted by using the parallel simulator TIE/Protocol to model the DCN and multi-agent system behavior.
Description:
This paper focuses on the decision-making mechanism of coordination protocol for a multi-agent system in collaborative, distributed environment requiring resource allocation solutions. The model of distributed collaboration network (DCN) for distributed resource allocation is developed. The use of monitored viability of each agent as a feedback for the agent's reflexivity and goal adjustment mechanisms during the coordination process is introduced. Question: Will (can) a multi-agent system, as a whole, achieve efficient resource allocations, when each agent makes independent decisions, adjusted by feedback of its own viability measure to maximize its own goal based on limited information about the entire system? To investigate this question, experiments were conducted by using the parallel simulator TIE/Protocol to model the DCN and multi-agent system behavior.
