A unified formal description of behavioural and deliberative robotic multi-agent systems

2003 ◽  
Vol 36 (17) ◽  
pp. 405-412
Author(s):  
Cezary Zieliński
Keyword(s):  
Formal Description ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Multi Agent

An approach to modeling the process of agents group coordination

2021 ◽  
Vol 7 ◽  
Author(s):  
D. A. Murashov ◽  
◽  
M. A. Murashova ◽  
Keyword(s):  
Formal Description ◽  
Proof Of Concept ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Group Coordination ◽  
Multi Agent

The paper describes the results of creating a model implementing an approach to coordination in multi-agent systems based on use of preference hierarchies. The purpose of that research was to create a proof-of-concept illustrating applicability of the approach. As a result, we created a formal description of a model describing competition between two rival swarms that employs the approach. We implemented the model in the form of a program, and obtained results indicating that the approach provides sustainable desirable outputs across multiple runs of the model.

scholarly journals Developing Tools for Networks of Processors

Triangle ◽  
2018 ◽  
pp. 25
Author(s):  
Alfonso Ortega de la Puente ◽  
Marina De la Cruz Echeandía ◽  
Emilio Del Rosal ◽  
Carmen Navarrete Navarrete ◽  
Antonio Jiménez Martínez ◽  
...  
Keyword(s):  
Dna Computing ◽  
Expressive Power ◽  
Natural Computing ◽  
Formal Description ◽  
Turing Machines ◽  
Multi Agent Systems ◽  
Lindenmayer Systems ◽  
Agent Systems ◽  
Multi Agent ◽  
Made In

A great deal of research eort is currently being made in the realm of so called natural computing. Natural computing mainly focuses on the denition, formal description, analysis, simulation and programming of new models of computation (usually with the same expressive power as Turing Machines) inspired by Nature, which makes them particularly suitable for the simulation of complex systems.Some of the best known natural computers are Lindenmayer systems (Lsystems, a kind of grammar with parallel derivation), cellular automata, DNA computing, genetic and evolutionary algorithms, multi agent systems, arti- cial neural networks, P-systems (computation inspired by membranes) and NEPs (or networks of evolutionary processors). This chapter is devoted to this last model.

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