Please use this identifier to cite or link to this item: http://dx.doi.org/10.14279/depositonce-5529
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.
URI: http://depositonce.tu-berlin.de/handle/11303/5942
http://dx.doi.org/10.14279/depositonce-5529
Issue Date: 2016
Date Available: 18-Oct-2016
DDC Class: DDC::100 Philosophie und Psychologie::150 Psychologie::153 Kognitive Prozesse, Intelligenz
DDC::000 Informatik, Informationswissenschaft, allgemeine Werke::000 Informatik, Wissen, Systeme::006 Spezielle Computerverfahren
Subject(s): anytime intelligence test
model evaluation
decision making
stock-flow problems
Intelligenztest
Modellevaluation
Entscheidungsfindung
Creative Commons License: https://creativecommons.org/licenses/by/4.0/
Proceedings Title: Proceedings of the 14th International Conference on Cognitive Modeling
Publisher: Pennsylvania State University
Publisher Place: University Park, Pennsylvania
Page Start: 261
Page End: 263
Is Supplemented By: http://dx.doi.org/10.14279/depositonce-5163
Appears in Collections:Technische Universität Berlin » Fakultäten & Zentralinstitute » Fakultät 4 Elektrotechnik und Informatik » Institut für Softwaretechnik und Theoretische Informatik » Quality and Usability Lab » Publications

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