Towards analogy-based decision - A proposal

Richard Billingsley (1) , Henri Prade (1, 2, 3) , Gilles Richard (2) , Mary-Anne Williams (1)

1 UTS:QCIS - Quantum Computation & Intelligent Systems [Ultimo]
2 IRIT-ADRIA - Argumentation, Décision, Raisonnement, Incertitude et Apprentissage
3 CNRS - Centre National de la Recherche Scientifique

This short paper outlines an analogy-based decision method. It takes advantage of analogical proportions between situations, i.e., a is to b as c is to d, for proposing plausibly good decisions that may be appropriate for a new situation at hand. It goes beyond case-based decision where the idea of graded similarity may hide some small but crucial differences between situations. The method relies on triples of known cases rather than on individual cases for making a prediction on the appropriateness of a potential decision, or for proposing a way of adapting a decision according to situations. The approach may be of interest in a variety of problems ranging from flexible querying systems to cooperative artificial agents.

Mots clés: Special circumstance; Artificial agent; Boolean variable; Analogical reasoning; Analogical inference

Domaines: Intelligence artificielle [cs.AI]; Logique en informatique [cs.LO]

Richard Billingsley, Henri Prade, Gilles Richard, Mary-Anne Williams. Towards analogy-based decision - A proposal. International conference on Flexible Query Answering Systems (FQAS 2017), Jun 2017, London, United Kingdom. pp.28-35. ⟨hal-02456776⟩