In various areas of computer science, such as logic, computation, program development and verification, artificial intelligence, knowledge representation, and automated reasoning, there is an obvious need for using specialized formalisms and inference mechanisms for special tasks. To be usable in practice, these specialized systems must be combined with each other, and must be integrated into general purpose systems. This has led in many research areas to the development of general techniques and methods for the combination and integration of special, formally defined systems, as well as for the analysis and modularization of complex systems.
The International Symposium on Frontiers of Combining Systems (FroCoS) traditionally focuses on these types of research questions and activities. Like its predecessors, FroCoS 2013 seeks to offer a common forum for research in the general area of combination, modularization and integration of systems, with emphasis on logic-based ones, and of their practical use.
Relevant topicsTypical topics of interest include (but are not limited to):
- combinations of logics such as combined higher-order, first-order, temporal, modal, description or other non-classical logics;
- combinations and modularity in ontologies;
- combination of decision procedures, of satisfiability procedures, and of constraint solving techniques or of logical frameworks;
- combination and integration methods in SAT and SMT solving;
- combinations and modularity in term rewriting;
- integration of equational and other theories into deductive systems;
- combination of deduction systems and computer algebra;
- integration of data structures into constraint logic programming and deduction;
- hybrid methods for deduction, resolution and constraint propagation;
- hybrid systems in knowledge representation and natural language semantics;
- combined logics for distributed and multi-agent systems;
- logical aspects of combining and modularizing programs and specifications.
The proceedings of FroCoS 2013 will be published by Springer in the LNCS/LNAI (Lecture Notes in Artificial Intelligence) series.