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Main Title: Towards the evaluation of cognitive models using anytime intelligence tests
Author(s): Halbrügge, Marc
Type: Conference Object
Language Code: en
Abstract: Cognitive models are usually evaluated based on their fit to empirical data. Artificial intelligence (AI) systems on the other hand are mainly evaluated based on their performance. Within the field of artificial general intelligence (AGI) research, a new type of performance measure for AGI systems has recently been proposed that tries to cover both humans and artificial systems: Anytime Intelligence Tests (AIT; Hernández-Orallo & Dowe, 2010). This paper explores the viability of the AIT formalism for the evaluation of cognitive models based on data from the ICCM 2009 “Dynamic Stocks and Flows” modeling challenge.
Issue Date: 2016
Date Available: 18-Oct-2016
DDC Class: 153 Kognitive Prozesse, Intelligenz
006 Spezielle Computerverfahren
Subject(s): anytime intelligence test
model evaluation
decision making
stock-flow problems
Proceedings Title: Proceedings of the 14th International Conference on Cognitive Modeling
Editor: Reitter, David
Ritter, Frank E.
Publisher: Pennsylvania State University
Publisher Place: University Park, Pennsylvania
Page Start: 261
Page End: 263
Is Supplemented By:
Appears in Collections:Quality and Usability Lab » Publications

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