FroCoS 2027

Aims

FroCoS is the main international event for research on the development of techniques and methods for the combination and integration of formal systems, their modularization and analysis. The first FroCoS symposium was held in Munich, Germany, in 1996. Initially held every two years, since 2004 it has been organized annually with alternate years forming part of IJCAR. FroCoS 2027 will be co-located with the 33rd International Conference on Automated Reasoning with Analytic Tableaux and Related Methods (TABLEAUX 2027).

Scope

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 systems for selected tasks. To be usable in practice, these specialized systems must be combined with each other and integrated into general purpose systems. This has led to the development of techniques and methods for the combination and integration of dedicated formal systems, as well as for their modularization and analysis. The International Symposium on Frontiers of Combining Systems (FroCoS) traditionally focuses on these types of research questions and activities. Like its predecessors, FroCoS 2027 seeks to offer a common forum for research in the general area of combination, modularization, and integration of systems, with emphasis on logic-based methods and their practical use.

List of topics

Topics of interest for FroCoS 2027 include (but are not restricted to):

• combinations of logics (such as higher-order, first-order, temporal, modal, description or other non-classical logics)
• combination and integration methods in SAT and SMT solving
• combination of decision procedures, satisfiability procedures, constraint solving techniques, or logical frameworks
• combination of logics with probability and/or fuzzy measures
• combinations and modularity in ontologies
• integration of equational and other theories into deductive systems
• 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
• integration of data structures into constraint logic programming and deduction
• combinations and modularity in term rewriting
• methods and techniques for the verification and analysis of information systems
• methods and techniques for combining logical reasoning with machine learning
• methods and techniques for combining proof search and proof validation