Multi-agent System for Control of Robots inspired on the Distributed Activity and Hormonal Regulation of Humans
Jose Vicente Berna-Martinez1, Francisco Macia Perez2
1Dr. Jose Vicente Berna-Martinez, Department of Computer Science, University of Alicante. Spain.
2Dr. Francisco Macia-Perez, Department of Computer Science, University of Alicante. Spain.
Manuscript received on 18 June 2012 | Revised Manuscript received on 25 June 2012 | Manuscript published on 30 June 2012 | PP: 53-60 | Volume-1 Issue-2, June 2012 | Retrieval Number: B0202051212/2012©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Robotics is an emerging field with great activity. Robotics is a field that presents several problems because it depends on a large number of disciplines, technologies, devices and tasks. Its expansion from perfectly controlled industrial environments toward open and dynamic environment presents a many new challenges. New uses are, for example, household robots or professional robots. To facilitate the low cost, rapid development of robotic systems, reusability of code, its medium and long term maintainability and robustness are required novel approaches to provide generic models and software systems who develop paradigms capable of solving these problems. For this purpose, in this paper we propose a model based on multi-agent systems inspired by the human nervous system able to transfer the control characteristics of the biological system and able to take advantage of the best properties of distributed software systems. Specifically, we model the decentralized activity and hormonal variation.
Keywords: Multi-Agent Systems, Bio-inspired System, Human Nervous System, Service Oriented Architectures, Web Services.
Scope of the Article: Web Mining