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Recognition Tasks Are Imitation Games
Author(s) -
Richard Zanibbi,
Dorothea Blostein,
James R. Cordy
Publication year - 2005
Publication title -
lecture notes in computer science
Language(s) - English
Resource type - Book series
SCImago Journal Rank - 0.249
H-Index - 400
eISSN - 1611-3349
pISSN - 0302-9743
ISBN - 3-540-28757-4
DOI - 10.1007/11551188_23
Subject(s) - computer science , imitation , set (abstract data type) , ranking (information retrieval) , artificial intelligence , task (project management) , field (mathematics) , interpretation (philosophy) , metric (unit) , natural language processing , mathematics , psychology , social psychology , operations management , management , pure mathematics , economics , programming language
There is need for more formal specification of recognition tasks. Currently, it is common to use labeled training samples to illustrate the task to be performed. The mathematical theory of games may provide more formal and complete definitions for recognition tasks. We present an imitation game that describes a wide variety of recognition tasks, including the classification of isolated patterns and structural analysis. In each round of the game, a set of ‘players' try to match the interpretation of an input produced by a set of ‘experts.' The ‘playing field' on which experts and players operate is a set of interpretations generated from legal sequences of ‘moves' for a round. The expert and player moves transform interpretations, and select interpretations for output. The distance between interpretations in the playing field is defined by a distance metric for interpretations, and the game outcome by a ranking function on distance values observed for players' interpretations. We demonstrate how this imitation game may be used to define and compare recognition tasks, and clarify the evaluation of proposed solutions.

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