A framework for arguing from analogy: preliminary results

MAXIMILIANO C. D. BUDÁN; PAOLA D. BUDAN; GUILLERMO RICARDO SIMARI

Congreso; XVIII Congreso Argentino de Ciencias de la Computación; 2013

Human reasoning applies argumentation patterns to draw conclusions about a particular subject. These patterns represent the structure of the arguments in the form of argumentation schemes which are useful in AI to emulate human reasoning. A type of argument schema is that what allow to analyze the similarities and diferences between two arguments, to find a solution to a new problem from an already known one. Researchers in the heavily studied field of analogies in discourse have recognized that there is not a full and complete definition to indicate when two arguments are considered analogous. Our proposal presents an initial attempt to formalize argumentation schemes based on analogies, considering a relationship of analogy between arguments. This will contribute to the area increasing such schemes usefulness in Artifícial Intelligence (AI), since it can be implemented later in Defeasible Logic Programming (DeLP).