Aims and scope
Many problems in Artificial Intelligence show an exponential explosion of the search space. Although stemming from different research areas in AI, such problems are often addressed with algorithms that have a common goal: the effective exploration of huge state spaces. Many algorithms developed in one research area are applicable to other problems, or can be hybridised with techniques in other areas. Artificial Intelligence tools often exploit or hybridise techniques developed by other research communities, such as Operations Research.
In recent years, research in AI has more and more focussed on experimental evaluation of algorithms, the development of suitable methodologies for experimentation and analysis, the study of languages and the implementation of systems for the definition and solution of problems.
Scope of the workshop is fostering the cross-fertilisation of ideas stemming from different areas, proposing benchmarks for new challenging problems, comparing models and algorithms from an experimental viewpoint, and, in general, comparing different approaches with respect to efficiency, problem modelling, and ease of development.
More details on RCRA 2014 can be found on the RCRA 2014 website.