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.
In many research areas, this has led to the development of techniques
and methods for the combination and integration of dedicated formal systems,
as well as their modularization and analysis.
FroCoS traditionally focuses on this type of research questions and activities
and aims at promoting progress in the field.
Typical topics of interest:
- 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
- combinations and modularity in ontologies
- integration of equational and other theories into deductive
- hybrid methods for deduction, resolution and constraint
- hybrid systems in knowledge representation and natural
- combined logics for distributed and multi-agent systems
- logical aspects of combining and modularizing programs and
- integration of data structures into constraint logic
programming and deduction
- combinations and modularity in term rewriting
- applications of methods and techniques to the verification and
analysis of information systems
September 4‐6, 2019,