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Control Of Multiagent Systems Theory And Simulations With Python Masaaki Nagahara

  • SKU: BELL-59130188
Control Of Multiagent Systems Theory And Simulations With Python Masaaki Nagahara
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Control Of Multiagent Systems Theory And Simulations With Python Masaaki Nagahara instant download after payment.

Publisher: Springer
File Extension: PDF
File size: 9.94 MB
Pages: 244
Author: Masaaki Nagahara, Shun-Ichi Azuma, Hyo-Sung Ahn
Language: English
Year: 2024

Product desciption

Control Of Multiagent Systems Theory And Simulations With Python Masaaki Nagahara by Masaaki Nagahara, Shun-ichi Azuma, Hyo-sung Ahn instant download after payment.

If there are multiple agents, they can form a multi-agent system. You can think of

a group of mobile robots, a flock of birds, and a crowd of people, as a multi-agent

system. The academic definition of a multi-agent system is as follows: A multi-agent

system, or a MAS for short, is a system consisting of multiple intelligent agents that

can autonomously make decisions through local interactions to achieve global tasks.

We can find a lot of multi-agent systems around us. We showcase important examples

of multi-agent systems in the real world in Sect. 1.2.

To obtain a mathematical model of a multi-agent system, the following three

essential elements should be taken into account:

(i) dynamics that describe the motion of the agents

(ii) network that shows how the agents connect with each other by local interactions

(iii) control that is taken by each agent for making the multi-agent system to be

resilient and achieving a global goal.

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