Design a site like this with WordPress.com
Get started

Home

This event follows the series of the RCRA (Knowledge Representation and Automated Reasoning) annual meetings, held since 1994. The success of the previous events shows that RCRA is becoming a major forum for exchanging ideas and proposing experimentation methodologies for algorithms in artificial intelligence.

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 focused 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.

Topics of interest include, but are not limited to:

  • Experimental evaluation of algorithms for
    • knowledge representation
    • automated reasoning
    • planning
    • scheduling
    • machine learning
    • model checking
    • Boolean satisfiability (SAT)
    • constraint programming
    • temporal reasoning
    • combinatorial optimization
    • argumentation
    • quantified Boolean formulae and quantified constraints
    • modal logics
    • logic programming
    • answer set programming
    • ontological reasoning
  • Definition and construction of benchmarks
  • Experimentation methodologies
  • Metaheuristics
  • Algorithm hybridization
  • Static analysis of combinatorial problems
  • Languages and systems for definition and solution of problems
  • Comparisons between systems and algorithms
  • Application experiences  (visualization, graphics, security, transports, etc.)

Submission guidelines

Authors are invited to submit either original (full or short) papers. Submission of papers already accepted/appeared on other conference proceedings is permitted.
The authors are requested to clearly specify whether their submission is original or already published. A footnote in the first page would suffice.

Publications showing negative results are welcome, provided that the approach was original and very promising in principle, the experimentation was well-conducted, the results obtained were unforeseeable and gave important hints in the comprehension of the target problem, helping other researchers to avoid unsuccessful paths.

Workshop submissions must be in PDF format, do not exceed 15 (for full papers) or 8 (for short papers) pages, and should be written in LaTeX, using the LNCS style.

RCRA 2020 uses EasyChair for the submission of contributions. Please submit using the link https://easychair.org/conferences/?conf=aixia2020 and by selecting RCRA as the track.