Artificial Intelligence and Symbolic Computation
Theory, Implementations and Applications
Artificial Intelligence and Symbolic Computation are two views and approaches for automating problem solving, in particular mathematical problem solving. The two approaches are based on heuristics and on mathematical algorithmics, respectively. Artificial Intelligence can be applied to Symbolic Computation and Symbolic Computation can be applied to Artificial Intelligence. Hence, a wealth of challenges, ideas, theoretical insights and results, methods and algorithms arise in the interaction of the two fields and research communities. Advanced tools of software technology and system design are needed and a broad spectrum of applications is possible by the combined problem solving power of the two fields.
Hence, the conference is in the center of interest and interaction for various research communities:
- artificial intelligence,
- symbolic computation,
- computer algebra,
- automated theorem proving,
- automated reasoning,
- formal mathematics,
- mathematical knowledge management,
- algorithmic invention and learning,
- software technology,
- semantic web technology,
- computer-based math teaching and didactics,
- computer-supported publishing,
- language and system design,
- implementation and performance issues,
- additional topics relating to the interaction of the above.
We encourage researchers working at points of contact among these fields to share their views, work, and results by submitting papers and taking part in the conference.
Conferences in this series are held every two years. The previous seven ones took place in
Cambridge (United Kingdom),
Marseille (France), and
- Hagenberg (Austria).
The first three were under the name "Artificial Intelligence and Symbolic Mathematical Computing (AISMC)". The conference in the year 2006 will be held at Beihang University, Beijing, China.