Matching Observed with Empirical Reality - What you see is what you get?

• Autorzy: Kurbalija, V. , Ivanović, M. , von Bernstorff, C. , Nachtwei, J. , Burkhard, H.-D.
• Języki publikacji: EN

Abstrakty

EN

This paper outlines the primary steps to investigate if artificial agents can be considered as true substitutes of humans. Based on a Socially augmented microworld (SAM) human tracking behavior was analyzed using time series. SAM involves a team of navigators jointly steering a driving object along different virtual tracks containing obstacles and forks. Speed and deviances from track are logged, producing high-resolution time series of individual (training) and cooperative tracking behavior. In the current study 52 time series of individual tracking behavior on training tracks were clustered according to different similarity measures. Resulting clusters were used to predict cooperative tracking behavior in fork situations. Results showed that prediction was well for tracking behavior shown at the first and, moderately well at the third fork of the cooperative track: navigators switched from their trained to a different tracking style and then back to their trained behavior. This matches with earlier identified navigator types, which were identified on visual examination. Our findings on navigator types will serve as a basis for the development of artificial agents, which can be compared later to behavior of human navigators.

Słowa kluczowe

EN

socially augmented microworld; time series analysis; artificial agent

• Czasopismo: Fundamenta Informaticae
• Rocznik: 2014
• Tom: Vol. 129, nr 1/2
• Strony: 133--147
• Opis fizyczny: Bibliogr. 36 poz., rys., tab.

Twórcy

autor

Kurbalija, V.

• Department of Mathematics and Informatics, Faculty of Sciences, University of Novi Sad, Trg D. Obradovica 4, 21000 Novi Sad, Serbia,

autor

Ivanović, M.

• Department of Mathematics and Informatics, Faculty of Sciences, University of Novi Sad, Trg D. Obradovica 4, 21000 Novi Sad, Serbia,

autor

von Bernstorff, C.

• Institute of Psychology, Humboldt University Berlin, Rudower Chaussee 18, 12489 Berlin, Germany,

autor

Nachtwei, J.

• Institute of Psychology, Humboldt University Berlin, Rudower Chaussee 18, 12489 Berlin, Germany,

autor

Burkhard, H.-D.

• Institute of Informatics, Humboldt University Berlin, Rudower Chaussee 25, 12489 Berlin, Germany,

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Identyfikatory

DOI

10.3233/FI-2014-965