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• EVOLUTIONARY DESIGN AS A TOOL FOR DEVELOPING MULTI-AGENT SYSTEMS

  L.A. Gladkov , N.V. Gladkova

  2020-11-22

  Abstract ▼

  The article is devoted to the discussion of the problems of constructing evolving multi-agent systems
  based on the use of the principles of evolutionary design and hybrid models. The concept of an
  agent is considered. A set of basic properties of the agent is presented. The analogies between multiagent
  and evolutionary systems are considered. The principles of construction and organization of multi-
  agent systems are considered. The similarities between the main definitions of the theory of agents
  and the theory of evolution are noted. It that the main evolution models and evolutionary algorithms can
  be successfully used in the design of multi-agent systems is noted. The analysis of existing methods andmethodologies for designing agents and multi-agent systems is carried out. The existing differences in
  approaches to the design of multi-agent systems are noted. The main types of models are described and
  their most important characteristics are given. A model of agent interaction, including a description of
  services (services), relationships and obligations existing between agents is presented. The model of
  relations (contacts), which defines communication links between agents is described. The importance
  and prospects of using the agent-based approach to the design of multi-agent systems are noted. The
  concept of designing agents and multi-agent systems, according to which the design process includes the
  basic components of self-organization, including the processes of interaction, crossing, adaptation to the
  environment, etc is proposed. Various approaches to the evolutionary design of artificial systems are
  considered. An evolutionary model of the formation of agents and agencies as the main component of
  evolutionary design is proposed. Modified evolutionary crossing-over operators to implement the agent
  design process are proposed.

• EVOLUTIONARY DESIGN AS A TOOL FOR DEVELOPING MULTI-AGENT SYSTEMS

  L. A. Gladkov, N. V. Gladkova

  2021-11-14

  Abstract ▼

  The article is devoted to the discussion of the problems of constructing evolving multi -
  agent systems. Possible methodologies for designing multi-agent systems are considered. The
  relevance of developing new principles for constructing multi -agent systems based on evolutionary
  design methods is noted. The correspondences between the terms of the theory of
  agents and the theory of evolution are highlighted. The prospects of using hybrid approaches
  to the design of multi-agent systems are noted. The principles of construction and the poss ibility
  of using fuzzy genetic algorithms in the design of multi -agent systems are considered.
  It is suggested that the models and methods of the theory of evolutionary modeling can be
  successfully applied in the design of multi-agent systems. An evolving multi-agent system is
  proposed. The procedure for the formation of new agents in the process of evolution is described.
  The set of parameters for assessing the state of each agent in the population has
  been determined. The resource parameters are proposed to be used to assess the current state
  of the agent and the possibilities of its interaction with other agents. The definitions of an
  agency and a family, the minimum elements of an evolving multi -agent system are given. An
  evolutionary strategy for constructing a model of an evolving multi -agent system is proposed.
  The procedures for the execution of the original evolutionary operators for processing the
  population of agents are described. Based on the proposed methodology, a software system
  for supporting the evolutionary design of agents and multi-agent systems was developed. Atpresent, computational experiments are being carried out to study the proposed design model
  for multi-agent systems, as well as to evaluate the effectiveness of various operators and
  schemes for the formation of descendant agents, the necessary conditions for survival.