SAMAI 2012 - 1st International Workshop Similarity and Analogy-based Methods in AI

http://www.irit.fr/samai/
1st International Workshop
Similarity and Analogy-based Methods in AI
The ability to identify and evaluate similarities (and dissimilarities)
between a current situation and already known cases and to take
advantage of these evaluations is an important feature of human
thinking. We make sense of the new situation and draw inferences for
classification, prediction, etc. For this reason, AI has always been
interested in analogical reasoning. Special forms of similarity-based
reasoning such as case-based reasoning have been studied and developed.
Similarity and analogy-based methods have been applied to a large
variety of areas such as problem solving (including IQ tests), theorem
proving, case-based question-answering and decision, machine learning,
natural language processing, image processing, causality analysis,
argumentation, logic programming, diagrammatic reasoning, or creativity.
In the last decade, the interest in AI for analogical reasoning and
analogical proportions, case-based reasoning, and other forms of
similarity-based reasoning has continued to develop. In particular,
different views and modelings have been suggested referring to a large
variety of approaches ranging from propositional, first or higher order
logics to structure mappings, neural networks, analogical dissimilarity
distances, probabilistic models, Kolmogorov complexity theory, and fuzzy
similarity-based methods. The aim of this workshop is:
to provide an overview of the state of the art in this field,
to share results,
to confront viewpoints, and
to get a better understanding of how to effectively implement these
ideas to bring new solutions to practical problems.