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The Temporal Inference Project is part of the Machine Inference Lab (MIRL)
at the University
of Windsor, School of Computer Science.
TIP members focus on developing techniques that allow computers to predict,
learn, and reason about time and change.
Applications of temporal inference of interest to TIP members: include
 | Spatio-temporal agents |
| Planning systems |
| Medical Diagnosis |
| Model-based Diagnosis |
| Forecasting |
| Decision Support Systems |
TIP members and collaborators have made contributions to
| Uncertain Temporal Reasoning |
| Representation of Time in Formal Concept Analysis |
| Qualitative Probabilities |
| Learning Temporal Properties |
The Temporal Inference Project is led by Dr. Ahmed Tawfik, |
ECAI Workshop on
Spatial and Temporal Reasoning
Zina Ibrahim co-authored
with Ahmed Y. Tawfik, a paper entitled "Representing Motion
Uncertainty for Spatio-Temporal Vague Regions". The paper has been accepted
for presentation at the ECAI Workshop on Spatial and Temporal Reasoning.
IFIP AI: Artificial
Intelligence in Theory and Practice
Ahmed Y. Tawfik and
Lawrence Barsanti investigate the identifaction of Road Segment in
Natural Language Text in a paper that will be presented at IFIP AI 2006.
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