The research within TOSCA is mainly concerned with theoretical aspects on various types of temporal systems, currently within the following topic areas.
For a recent summary of our results, see
Bäckström, C. (1995),
Five Years of Tractable Planning
In Ghallab, M. and Milani, A., editors, New Directions in AI Planning:
EWSP'95---3rd European Workshop on Planning, Frontiers in AI and
Applications, Assisi, Italy. IOS Press.
Invited paper.
Mathematical models for such systems can be derived using two different approaches. In the first approach, discrete models of the environemnt are derived from the physical models and composed with the models of the reactive system for the purpose of analysis. Appropriate semantics for the discrete languages (e.g. Esterel, statecharts, rule-based languages) and the derivation of the environment models are the main areas subject to study within this approach.
Although the above approach suffices for analysis of safety properties in certain applications, proofs of timeliness requirements require explicit representation of the "rate of change" in the system and its environment. In the hybrid approach, we derive models in which both the continuous and the discrete elements are represented explicitely. In this area our main concern is to generate hybrid mathematical models from engineering languages and physical models systematically. Also, we study the translation of the hybrid models generated as above to models where formal analysis is facilitated. Our interests span both deductive proof techniques and algorithmic methods.
These problems are closely related to the problems of requirements capture and formal languages for design and requirements specifications in the context of software engineering.