NatureTime: Temporal Granularity in Simulation of Ecosystems

E. Mota, D. Robertson, A. Smaill

Research output: Contribution to journalArticlepeer-review

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 simpler domains of application we may not need to consider it 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 (and sometimes cyclically) is very difficult to achieve reliably. We have proposed a new time granularity theory based onmodular temporal classes, and have developed a temporal reasoning system to specify cyclical processes of simulation models in ecology at many levels of time.
Original languageEnglish
Pages (from-to)665-698
Number of pages34
JournalJournal of Symbolic Computation
Volume22
Issue number5-6
DOIs
Publication statusPublished - 1996

Fingerprint

Dive into the research topics of 'NatureTime: Temporal Granularity in Simulation of Ecosystems'. Together they form a unique fingerprint.

Cite this