A role for goal-oriented autonomous agents in modeling people-environment interactions in forest recreation

P. Deadman, R. H. Gimblett

Research output: Contribution to journalArticle

34 Scopus citations

Abstract

Increased demand by the public for diverse and quality recreation opportunities has placed considerable pressure on the natural resource and its management. This problem is compounded by a general lack of understanding of interactions between people and forest recreation environments that result in wide variations in perceptions, expectations, and patterns of choice and use. Emerging technologies, such as distributed artificial intelligence, provide a mechanism to integrate advances in recreation research with a Geographic Information Systems (GIS) based environment. Distributed artificial intelligence provides the foundation for a modeling system to simulate the interactions between recreators and their environment. Despite the work done by many researchers in the development of object-oriented modeling and simulation languages, GIS, nonhuman agent design and simulations, no single system has been constructed to handle the complexity of goal-oriented autonomous human agents seeking recreational opportunities in natural environments. This paper describes a theoretical framework and a model for simulating hiker behavior in a natural environment using intelligent agents, discrete event simulation (DEVS) and GIS data. The results of hiker interactions are summarized to provide feedback on the implications for alternative recreation management planning.

Original languageEnglish (US)
Pages (from-to)121-133
Number of pages13
JournalMathematical and Computer Modelling
Volume20
Issue number8
DOIs
StatePublished - Oct 1994

Keywords

  • Autonomous agents
  • Discrete event simulation
  • Distributed artificial intelligence
  • Forest management
  • Geographic Information Systems
  • Recreation

ASJC Scopus subject areas

  • Modeling and Simulation
  • Computer Science Applications

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