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Towards Computational Models of Artificial Cognitive Systems That Can, in Principle, Pass the Turing Test
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SYSNO ASEP 0368232 Document Type C - Proceedings Paper (int. conf.) R&D Document Type Conference Paper Title Towards Computational Models of Artificial Cognitive Systems That Can, in Principle, Pass the Turing Test Author(s) Wiedermann, Jiří (UIVT-O) RID, SAI, ORCID Source Title SOFSEM 2012. Theory and Practice of Computer Science. - Berlin : Springer, 2012 / Bieliková M. ; Friedrich G. ; Gottlob G. ; Katzenbeisser S. ; Turán G. - ISSN 0302-9743 - ISBN 978-3-642-27659-0 Pages s. 44-63 Number of pages 20 s. Action SOFSEM 2012. Conference on Current Trends in Theory and Practice of Computer Science /38./ Event date 21.01.2012-27.01.2012 VEvent location Špindlerův Mlýn Country CZ - Czech Republic Event type WRD Language eng - English Country DE - Germany Keywords cognitive systems ; Turing test ; high-level architecture of an artificial agent Subject RIV IN - Informatics, Computer Science R&D Projects GAP202/10/1333 GA ČR - Czech Science Foundation (CSF) CEZ AV0Z10300504 - UIVT-O (2005-2011) UT WOS 000307258500005 EID SCOPUS 84856046662 DOI 10.1007/978-3-642-27660-6_5 Annotation We will give plausible arguments in favor of a claim that we already have sufficient knowledge to understand the working of interesting artificial minds attaining a high-level cognition, consciousness included. Achieving a higher-level AI seems to be not a matter of a fundamental scientific breakthrough but rather a matter of exploiting our best theories of artificial minds and our most advanced data processing technologies. We list the theories we have in mind and illustrate their role and place on the example of a high-level architecture of a conscious cognitive agent with a potential to pass the Turing test. Workplace Institute of Computer Science Contact Tereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800 Year of Publishing 2012
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