Agent Programming Languages and Logics in Agent-Based Simulation

John Bruntse Larsen

Research output: Chapter in Book/Report/Conference proceedingBook chapterResearchpeer-review

Abstract

Research in multi-agent systems has resulted in agent programming languages and logics that are used as a foundation for engineering multi-agent systems. Research includes reusable agent programming platforms for engineering agent systems with environments, agent behavior, communication protocols and social behavior, and work on verification. Agent-based simulation is an approach for simulation that also uses the notion of agents. Although agent programming languages and logics are much less used in agent-based simulation, there are successful examples with agents designed according to the BDI paradigm, and work that combines agent-based simulation platforms with agent programming platforms. This paper analyzes and evaluates benefits of using agent programming languages and logics for agent-based simulation. In particular, the paper considers the use of agent programming languages and logics in a case study of simulating emergency care units.
Original languageEnglish
Title of host publicationModern Approaches for Intelligent Information and Database Systems
Volume769
PublisherSpringer
Publication date2018
Pages517-526
ISBN (Print)978-3-319-76081-0
DOIs
Publication statusPublished - 2018
SeriesModern Approaches for Intelligent Information and Database Systems
Volume769

Keywords

  • Engineering
  • Computational Intelligence
  • Artificial Intelligence (incl. Robotics)
  • Multi-agent systems
  • Logic
  • Simulation

Cite this

Larsen, J. B. (2018). Agent Programming Languages and Logics in Agent-Based Simulation. In Modern Approaches for Intelligent Information and Database Systems (Vol. 769, pp. 517-526). Springer. Modern Approaches for Intelligent Information and Database Systems, Vol.. 769 https://doi.org/10.1007/978-3-319-76081-0_44