Geodesic
Knowledge-based algorithms for BDI-agents
Modelirovanie i analiz informacionnyh sistem, Tome 27 (2020) no. 4, pp. 442-453

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Multiagent algorithm is a knowledge-based distributed algorithm that solves some problems by means of cooperative work of agents. From an individual agent's perspective, a multiagent algorithm is a reactive and proactive knowledge/believe-based rational algorithm aimed to achieve an agent's own desires. In the paper we study a couple of knowledge-based multiagent algorithms. One particular algorithm is for a system consisting of agents that arrive one by one (in a non-deterministic order) to a resource center to rent (for a while) one of available desired resources. Available resources are passive, they form a cloud; each of the available resources is lent on demand if there is no race for this resource and returns to the cloud after use. Agents also form a cloud but leave the cloud immediately when they rent a desired resource. The problem is to design a knowledge-based multiagent algorithm, which allows each arriving agent eventually to rent some of desired resources (without race for these resources).
Keywords: multiagent systems, multiagent algorithms, knowledge and belief.
Mots-clés : BDI-agents 
@article{MAIS_2020_27_4_a5,
     author = {N. V. Shilov and N. O. Garanina},
     title = {Knowledge-based algorithms for {BDI-agents}},
     journal = {Modelirovanie i analiz informacionnyh sistem},
     pages = {442--453},
     publisher = {mathdoc},
     volume = {27},
     number = {4},
     year = {2020},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/MAIS_2020_27_4_a5/}
}
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N. V. Shilov; N. O. Garanina. Knowledge-based algorithms for BDI-agents. Modelirovanie i analiz informacionnyh sistem, Tome 27 (2020) no. 4, pp. 442-453. http://geodesic.mathdoc.fr/item/MAIS_2020_27_4_a5/