Towards Computational Models of Artificial Cognitive Systems That Can, in Principle, Pass the Turing Test

Authors: Jiří Wiedermann
Publication year: 2012
Publication type: Konferenční příspěvek (mezinárodní konf.)
Periodical: SOFSEM 2012. Theory and Practice of Computer Science
Projects: NoSCoM: Non-Standard Computational Models and Their Applications in Complexity, Linguistics, and Learning
Bibliographic citation: WIEDERMANN, Jiří. Towards Computational Models of Artificial Cognitive Systems That Can, in Principle, Pass the Turing Test. In: BIELIKOVÁ, M., FRIEDRICH, G., GOTTLOB, G., KATZENBEISSER, S., TURÁN, G., eds. SOFSEM 2012. Theory and Practice of Computer Science. Berlin: Springer, 2012, S. 44-63. Lecture Notes in Computer Science, 7147. ISBN 978-3-642-27659-0. ISSN 0302-9743
Dostupné z: doi:10.1007/978-3-642-27660-6_5
DOI: 10.1007/978-3-642-27660-6_5
ID: 368232

Abstract

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.