Systems, Actors and Agents: Operation in a multicomponent environment
Mark Burgin

TL;DR
This paper develops a mathematical model for multi-agent, multicomponent systems that accounts for multiple timescales and concurrent processes, addressing limitations of traditional models that assume a single absolute time.
Contribution
It introduces a novel actor model for multi-agent systems that incorporates concurrency and diverse time scales, expanding the theoretical framework of multi-agent modeling.
Findings
The actor model supports concurrency of processes.
The model accounts for multiple time scales.
Properties of the system actor model are theoretically analyzed.
Abstract
Multi-agent approach has become popular in computer science and technology. However, the conventional models of multi-agent and multicomponent systems implicitly or explicitly assume existence of absolute time or even do not include time in the set of defining parameters. At the same time, it is proved theoretically and validated experimentally that there are different times and time scales in a variety of real systems - physical, chemical, biological, social, informational, etc. Thus, the goal of this work is construction of a multi-agent multicomponent system models with concurrency of processes and diversity of actions. To achieve this goal, a mathematical system actor model is elaborated and its properties are studied.
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Taxonomy
TopicsDistributed systems and fault tolerance · Advanced Queuing Theory Analysis
