Towards a general theory of action and time
Artificial Intelligence
Computer
Representing and reasoning about change
Proc. of the ACM SIGGRAPH/SIGART interdisciplinary workshop on Motion: representation and perception
Logical modeling of temporal data
SIGMOD '87 Proceedings of the 1987 ACM SIGMOD international conference on Management of data
Vm: representing time-dependent relations in a medical setting
Vm: representing time-dependent relations in a medical setting
Expert System Hardware for Fault Detection
Applied Intelligence
An Expert System Shell for Aerospace Applications
IEEE Expert: Intelligent Systems and Their Applications
Moving objects spatiotemporal reasoning model for battlefield analysis
ICS'08 Proceedings of the 12th WSEAS international conference on Systems
Using temporal constraints for temporal abstraction
Journal of Intelligent Information Systems
Finding temporal patterns - A set-based approach
Artificial Intelligence in Medicine
Temporal representation and reasoning in artificial intelligence: A review
Mathematical and Computer Modelling: An International Journal
A general framework for time-aware decision support systems
Expert Systems with Applications: An International Journal
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The authors discuss the incorporation of temporal-reasoning capability in an expert-system-shell environment, and the implication of this approach by storing attribute values with time tags. In essence, this adds an extra dimension (time) to the frame database but, due to the implementation method chosen, the storage space increase tends to be small. A time-tag capability for point times and intervals was implemented to make temporal reasoning as general as possible. Since values are often stored at point times or unconnected intervals, the meaning of the values at nonspecified times must be covered. Four different methods to cover those times were implemented, and knowledge engineers can select the one appropriate for each attribute. To focus the research, the authors applied temporal reasoning to a monitoring-and-diagnosis application in which time-dependent data had been difficult to handle. They developed Wheels, an expert system that diagnoses problems with the Hubble space telescope's reaction wheels.