Skip to main navigation Skip to search Skip to main content

Formal modelling of the dynamic behaviour of biology-inspired, agent-based systems

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Multi-agent systems are highly dynamic since the agents' abilities and the system configuration often changes over time. In some ways, such multiagent systems seem to behave like biological processes; new agents appear in the system, some others cease to exist, and communication between agents changes. One of the challenges is to attempt to formally model the dynamic configuration of multi-agent systems. Towards this aim, we present a formal method, namely X-machines, that can be used to formally specify, verify, and test individual agents. In addition, communicating X-machines provide a mechanism for allowing agents to communicate messages to each other. We utilize concepts from biological processes in order to identify and define a set of operations that are able to reconfigure a multi-agent system. In this chapter we present an example in which a biology-inspired system is incrementally built in order to meet our objective.

Original languageEnglish (US)
Title of host publicationMolecular Computational Models
Subtitle of host publicationUnconventional Approaches
PublisherIGI Global
Pages243-276
Number of pages34
ISBN (Print)9781591403333
DOIs
StatePublished - 2005

All Science Journal Classification (ASJC) codes

  • General Computer Science

Fingerprint

Dive into the research topics of 'Formal modelling of the dynamic behaviour of biology-inspired, agent-based systems'. Together they form a unique fingerprint.

Cite this