Multi-agent Systems Interacting (Addressing Scopes, Control Resources)
Multi-agent systems consist of agents and their environment. the agents in a multi-agent system could equally well be robots, humans or human teams. And may contain combined human-agent.
Multi-agent systems can be used to solve problems that are difficult or impossible for an individual agent or a monolithic system to solve. Intelligence may include some methodic, functional, procedural approach, algorithmic search or reinforcement learning.
In a system with agents that have their own objectives and schedules, when tasks are dependent on one another or when resources are to be shared, it can be important to add the function of coordination to the system, otherwise there is a risk of redundancy or even of a “locked” situation occurring.
With the modeling in Event-B we are now ready to make precise what we mean by a “faultless” system, which represents our ultimate goal as the title of this prologue indicates.
In this paper and with the abstract machine, we are going to present a formal approach to develop the addressing and the relation between Multi-Agents and its convenient scope achieving the allocated missions.
On the refinement machine the technique of adding auxiliary resources is considered during the mission life-cycle.
KeywordsMulti-agent systems Addressing scopes Control resources Event-B Rodin
This work was supported by the Ministry of Education, Youth and Sports of the Czech Republic within the National Sustainability Programme project No. LO1303 (MSMT-7778/2014) and by the European Regional Development Fund under the project CEBIA-Tech No. CZ.1.05/2.1.00/03.0089. Also supported by grant No. IGA/CebiaTech/2017/007 from IGA (Internal Grant Agency) of Tomas Bata University in Zlin.
- 1.Brahnam, S., Jain, L.C.: Dhuʻl-H. 17, 1435 AH – Computers, 291 p. Springer, HeidelbergGoogle Scholar
- 2.Cellular Automata and Agent - based Models - A Theoritical Framework. http://wgbis.ces.iisc.ernet.in/energy/paper/TR100/tr100_cel.htm
- 3.Kaminka, G.A.: Robots are Agents, Too! AgentLink News, pp. 16–17, December 2004Google Scholar
- 4.Kubera, Y., Mathieu, P., Picault, S.: Everything can be Agent! (PDF). In: Proceedings of the Ninth International Joint Conference on Autonomous Agents and Multi-Agent Systems (AAMAS 2010), Toronto, Canada, pp. 1547–1548 (2010)Google Scholar
- 5.Ferber, J.: Multi-Agent System: An Introduction to Distributed Artificial Intelligence. Addison Wesley Longman, Harlow (1999). Paper: ISBN 0-201-36048-9Google Scholar
- 6.Abrial, J-R.: The B book: Assigning Programs to Meanings. Cambridge University Press, Cambridge (1996)Google Scholar
- 7.Abrial, J-R.: Extending B without changing it (for developing distributed systems). In: First B Conference Putting Into Practice Methods and Tools for Information System Design, Nantes, pp. 169–190 (1996)Google Scholar
- 8.Metayer, C., Abrial, J., Voisin, L.: Event-B Language. Technical report D7, z RODIN Project Deliverable (2005)Google Scholar
- 9.Butler, M.: Mastering System Analysis and Design through Abstraction and Refinement. Deploy (2012)Google Scholar
- 10.Butler, M.: Reasoned Modelling with Event-B, 30 January 2017Google Scholar
- 11.Abrial, J.-R.: Modeling in Event-B: System and Software Engineering. Cambridge University Press, Cambridge (2010)Google Scholar