A Feature Selection Approach for Emulating the Structure of Mental Representations

Tscherepanow, Marko; Kortkamp, Marco; Kühnel, Sina; Helbach, Jonathan; Schütz, Christoph; Schack, Thomas

A Feature Selection Approach for Emulating the Structure of Mental Representations

Tscherepanow M, Kortkamp M, Kühnel S, Helbach J, Schütz C, Schack T (2011)
In: Neural information processing : 18th international conference, ICONIP 2011, Shanghai, China, November 13-17, 2011; proceedings. Lu B-L, Zhang L, Kwok J (Eds); Lecture Notes in Computer Science, 7064. Springer: 639-648.

Konferenzbeitrag | Veröffentlicht | Englisch

Download

tscherepanow.marko2011afeature-ICONIP.pdf

URL

http://www.springerlink.com/content/v47104867028nk87/

DOI

https://doi.org/10.1007/978-3-642-24965-5_72

URN

urn:nbn:de:0070-pub-23067763

Autor*in

Tscherepanow, Marko^UniBi; Kortkamp, Marco^UniBi; Kühnel, Sina^UniBi; Helbach, Jonathan; Schütz, Christoph^UniBi ; Schack, Thomas^UniBi

Herausgeber*in

Lu, Bao-Liang; Zhang, Liqing; Kwok, James

Einrichtung

Fakultät für Psychologie und Sportwissenschaft > Abteilung Sportwissenschaft > Arbeitsbereich II - Neurokognition und Bewegung - Biomechanik
Center of Excellence - Cognitive Interaction Technology CITEC
Fakultät für Psychologie und Sportwissenschaft > Abteilung für Psychologie > Arbeitseinheit 14 - Biopsychologie und Kognitive Neurowissenschaften
Technische Fakultät > AG Angewandte Informatik

Abstract / Bemerkung

In order to develop artificial agents operating in complex ever-changing environments, advanced technical memory systems are required. At this juncture, two central questions are which information needs to be stored and how it is represented. On the other hand, cognitive psychology provides methods to measure the structure of mental representations in humans. But the nature and the characteristics of the underlying representations are largely unknown. We propose to use feature selection methods to determine adequate technical features for approximating the structure of mental representations found in humans. Although this approach does not allow for drawing conclusions transferable to humans, it constitutes an excellent basis for creating technical equivalents of mental representations.

Stichworte

Feature selection; Memory; Mental representations

Erscheinungsjahr

2011

Titel des Konferenzbandes

Neural information processing : 18th international conference, ICONIP 2011, Shanghai, China, November 13-17, 2011; proceedings

Serien- oder Zeitschriftentitel

Lecture Notes in Computer Science, 7064

Seite(n)

639-648

Konferenz

18th International Conference on Neural Information Processing (ICONIP 2011)

Konferenzort

Shanghai, China

Konferenzdatum

2011-11-13 – 2011-11-17

ISBN

3-642-24964-7

Page URI

https://pub.uni-bielefeld.de/record/2306776

Zitieren

Tscherepanow M, Kortkamp M, Kühnel S, Helbach J, Schütz C, Schack T. A Feature Selection Approach for Emulating the Structure of Mental Representations. In: Lu B-L, Zhang L, Kwok J, eds. Neural information processing : 18th international conference, ICONIP 2011, Shanghai, China, November 13-17, 2011; proceedings. Lecture Notes in Computer Science, 7064. Springer; 2011: 639-648.

Tscherepanow, M., Kortkamp, M., Kühnel, S., Helbach, J., Schütz, C., & Schack, T. (2011). A Feature Selection Approach for Emulating the Structure of Mental Representations. In B. - L. Lu, L. Zhang, & J. Kwok (Eds.), Lecture Notes in Computer Science, 7064. Neural information processing : 18th international conference, ICONIP 2011, Shanghai, China, November 13-17, 2011; proceedings (pp. 639-648). Springer. https://doi.org/10.1007/978-3-642-24965-5_72

Tscherepanow, Marko, Kortkamp, Marco, Kühnel, Sina, Helbach, Jonathan, Schütz, Christoph, and Schack, Thomas. 2011. “A Feature Selection Approach for Emulating the Structure of Mental Representations”. In Neural information processing : 18th international conference, ICONIP 2011, Shanghai, China, November 13-17, 2011; proceedings, ed. Bao-Liang Lu, Liqing Zhang, and James Kwok, 639-648. Lecture Notes in Computer Science, 7064. Springer.

Tscherepanow, M., Kortkamp, M., Kühnel, S., Helbach, J., Schütz, C., and Schack, T. (2011). “A Feature Selection Approach for Emulating the Structure of Mental Representations” in Neural information processing : 18th international conference, ICONIP 2011, Shanghai, China, November 13-17, 2011; proceedings, Lu, B. - L., Zhang, L., and Kwok, J. eds. Lecture Notes in Computer Science, 7064 (Springer), 639-648.

Tscherepanow, M., et al., 2011. A Feature Selection Approach for Emulating the Structure of Mental Representations. In B. - L. Lu, L. Zhang, & J. Kwok, eds. Neural information processing : 18th international conference, ICONIP 2011, Shanghai, China, November 13-17, 2011; proceedings. Lecture Notes in Computer Science, 7064. Springer, pp. 639-648.

M. Tscherepanow, et al., “A Feature Selection Approach for Emulating the Structure of Mental Representations”, Neural information processing : 18th international conference, ICONIP 2011, Shanghai, China, November 13-17, 2011; proceedings, B.-L. Lu, L. Zhang, and J. Kwok, eds., Lecture Notes in Computer Science, 7064, Springer, 2011, pp.639-648.

Tscherepanow, M., Kortkamp, M., Kühnel, S., Helbach, J., Schütz, C., Schack, T.: A Feature Selection Approach for Emulating the Structure of Mental Representations. In: Lu, B.-L., Zhang, L., and Kwok, J. (eds.) Neural information processing : 18th international conference, ICONIP 2011, Shanghai, China, November 13-17, 2011; proceedings. Lecture Notes in Computer Science, 7064. p. 639-648. Springer (2011).

Tscherepanow, Marko, Kortkamp, Marco, Kühnel, Sina, Helbach, Jonathan, Schütz, Christoph, and Schack, Thomas. “A Feature Selection Approach for Emulating the Structure of Mental Representations”. Neural information processing : 18th international conference, ICONIP 2011, Shanghai, China, November 13-17, 2011; proceedings. Ed. Bao-Liang Lu, Liqing Zhang, and James Kwok. Springer, 2011. Lecture Notes in Computer Science, 7064. 639-648.

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