Knowledge Representation and Reasoning (KRR)

Knowledge Representation and Reasoning (KRR) is a well-established research area of Artificial Intelligence. In KRR, a fundamental assumption is that an agent’s knowledge is explicitly represented in a declarative form, suitable for processing by dedicated reasoning engines. The scope of this track includes contributions to the formal foundations of KRR or that show the applicability of results to implemented or implementable systems. We also welcome papers from other areas that show the use of, or contributions to, the principles or practice of KRR.

Topics of Interest

Knowledge Representation and Reasoning (KRR) is an exciting, well-established field of research. In KRR a fundamental assumption is that an agent’s knowledge is explicitly represented in a declarative form, suitable for processing by dedicated reasoning engines. This assumption, that much of what an agent deals with is knowledge-based, is common in many modern intelligent systems. Consequently, KRR has contributed to the theory and practice of various areas in AI, such as automated planning and natural language understanding, among others, as well as to fields beyond AI, including databases, software engineering, the Semantic Web, computational biology, and the development of software agents. We welcome papers that contribute to the formal foundations of KRR or that show the applicability of results to implemented or implementable systems. We also welcome papers from other areas that show the use of, or contributions to, the principles or practice of KRR. Topics of interest include, but are not limited to:

  • Action, change, causality and causal reasoning
  • Argumentation
  • Belief revision and update, belief merging
  • Commonsense reasoning
  • Constraint programming and KRR
  • Contextual reasoning
  • Description logics
  • Diagnosis, abduction, explanation finding
  • Inconsistency- and exception tolerant reasoning, paraconsistent logics
  • KR and autonomous agents: intelligent agents, cognitive robotics, multi-agent systems
  • KR and decision making, game theory, social choice
  • KR and machine learning, inductive logic programming, knowledge discovery and acquisition
  • KR and stream reasoning
  • KR and the Web, Semantic Web
  • Logic programming, answer set programming, constraint logic programming
  • Non-monotonic logics, default logics, conditional logics
  • Ontology formalisms and models
  • Preferences: modeling and representation, preference-based reasoning
  • Reasoners and solvers: SAT solvers, theorem provers, QBF solvers, and others
  • Reasoning about knowledge and belief, dynamic epistemic logic, epistemic and doxastic logics
  • Spatial reasoning and temporal reasoning, qualitative reasoning
  • Uncertainty, representations of vagueness, many-valued and fuzzy logics

Organizing Committee

Pedro Cabalar, Corunna University, Spain
Eduardo Fermé, University of Madeira, Portugal
Ricardo Gonçalves, Universidade NOVA de Lisboa, Portugal
Matthias Knorr, Universidade NOVA de Lisboa, Portugal
Rafael Peñaloza Nyssen, University of Milano-Bicocca, Italy

Program Committee 

Adila A. Krisnadhi, Universitas Indonesia, Indonesia
Alejandro Garcia, Universidad Nacional del Sur, Argentina
Bart Bogaerts, Vrije Universiteit Brussel, Belgium
Carlos Areces, Universidad Nacional de Córdoba, Argentina
Carmine Dodaro, University of Calabria, Italy
Cristina Feier, University of Bremen, Germany
David Pearce, Universidad Politécnica de Madrid, Spain
David Rajaratnam, University of New South Wales, Australia
Emmanuele Dietz Saldanha, Technische Universität Dresden, Germany
Erman Acar, Vrije Universiteit Amsterdam, Netherlands
Fabrizio Maggi, University of Tartu, Estonia
Francesca Alessandra Lisi, Universit degli Studi di Bari Aldo Moro, Italy
Gerhard Brewka, Leipzig University, Germany
Guohui Xiao, Free University of Bozen-Bolzano, Italy
Isidoros Perikos, University of Patras, Greece
Inês Lynce, University of Lisbon, Portugal
Ivan Varzinczak, Université d’Artois, France
Jesse Heyninck, University of Dortmund, Germany
João Leite, Universidade Nova de Lisboa, Portugal
João Marques-Silva, University of Toulouse, France
José Júlio Alferes, Universidade Nova de Lisboa, Portugal
Jorge Fandinno, University of Potsdam, Germany
Loizos Michael, Open University of Cyprus, Cyprus
Mantas Simkus, Vienna University of Technology, Austria
Manuel Ojeda, Universidad de Málaga, Spain
Maria Vanina Martinez, Universidad Nacional del Sur, Argentina
Marco Paulo Ferreirinha Garapa, University of Madeira, Portugal
Mario Alviano, University of Calabria, Italy
Matthias Thimm, Universität Koblenz-Landau, Germany
Maurício Duarte Luís Reis, University of Madeira, Portugal
Nicolas Troquard, Free University of Bozen-Bolzano, Italy
Orkunt Sabuncu, TED University Ankara, Turkey
Rafael Testa, University of Campinas, Brazil
Ramon Pino Perez, Yachay Tech University, Ecuador
Salvador Abreu, University of Évora, Portugal
Stefan Woltran, Vienna University of Technology, Austria