The University of Edinburgh -
Division of Informatics
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Research Paper #740

Title:Time Granularity in Simulation Models of Ecological Systems
Authors:Mota,Ed; Haggith,MC; Smaill,AD; Robertson,DS
Date:Apr 1995
Presented:Accepted for presentation at the Workshop in Executable Temporal Logic at IJCAI-95, Montreal, Canada
Abstract:Granularity of time is an important issue for the understanding of how actions performed at coarse levels of time interact with others, working at finer levels. However, it has not received much attention from most AI work on temporal logic. in traditional domains of application (e.g. databases, planning, natural language, etc.), we may not need to consider it as a problem, but it becomes important in more complex domains, such as ecological modelling. In this domain aggregation of processes working at different time granularities is very difficult to do reliably. We have proposed a new time granularity theory based on modular temporal classes, and have developed a temporal reasoning system to reason about seasonal cycles. This time theory may be a suitable framework for an executable temporal logic for the specification of ecological models, where each ecological entity is an active agent.

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