Alex Petrov's Publication List

This page lists the publications of Alexander Petrov as of March 2007, organized by topic. Alternative lists organized by outlet type or in reverse chronological order are also available. Reprints, data sets, and software can be downloaded from the corresponding project pages.

• Perceptual learning via Hebbian reweighting
• ANCHOR: A memory-based scaling model
• AMBR: Analogy making with decentralized representations
• Other topics
• Copyright Notice

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Perceptual Learning via Hebbian Reweighting

Please visit the perceptual learning project page to download reprints, data sets, and software.

Petrov, A., Dosher, B., & Lu, Z.-L. (2006)

Perceptual Learning Without Feedback in Non-Stationary Contexts: Data and Model. Vision Research, 46(19), 3177-3197.
Abstract Preprint (pdf) Data sets Software

Petrov, A. (2006)

Bayesian method for repeated threshold estimation [Abstract]. In Proceedings of the 2006 Meeting of the Vision Sciences Society.
Abstract Slides (pdf) Handout (pdf)

Petrov, A., Dosher, B., & Lu, Z.-L. (2005)

The Dynamics of Perceptual Learning: An Incremental Reweighting Model. Psychological Review, 112(4), 715-743.
Abstract Reprint (pdf) Data sets Software

Petrov, A. (2005)

Bayesian method for repeated threshold estimation [Abstract]. In Proceedings of the 38th Annual Meeting of the Society for Mathematical Psychology.
Abstract Slides (pdf)

Jeter, P., Dosher, B., Petrov, A., & Lu, Z.-L. (2005)

Identical transfer of perceptual learning following easy and difficult task training [Abstract]. Journal of Vision, 5(8), 710a, http://www.journalofvision.org/5/8/710/. (Poster presented at the 2005 Meeting of the Vision Sciences Society)
Abstract Poster (pdf)

Petrov, A., Dosher, B., & Lu, Z.-L. (2004)

Comparable perceptual learning with and without feedback in non-stationary context: Data and model [Abstract]. Journal of Vision, 4(8), 306a, http://journalofvision.org/4/8/306/. (Poster presented at the 2004 Meeting of the Vision Sciences Society)
Abstract Poster (pdf) Data

Petrov, A., Dosher, B., & Lu, Z.-L. (2003)

A computational model of perceptual learning through incremental channel re-weighting predicts switch costs in non-stationary contexts [Abstract]. Journal of Vision, 3(9), 670a, http://journalofvision.org/3/9/670/. (Poster presented at the 2003 Meeting of the Vision Sciences Society)
Abstract Poster (pdf) Data

Petrov, A., Dosher, B., & Lu, Z.-L. (2003)

A computational model of perceptual learning through incremental channel re-weighting predicts switch costs in non-stationary contexts [Abstract]. In Proceedings of the Fifth UCI Neuroscience Symposium (abstract 25). University of California, Irvine.
Abstract Slides (pdf)

ANCHOR: A Memory-Based Scaling Model

Please visit the ANCHOR project page to download reprints, data sets, and software.

Petrov, A. & Anderson, J. R. (2005)

The Dynamics of Scaling: A Memory-Based Anchor Model of Category Rating and Absolute Identification. Psychological Review, 112(2), 383-416.
Abstract Reprint (pdf) Software

Petrov, A. (2004)

Non-Stationary Response Distribution: A Telltale Sign of the Dynamics of Category Rating. Abstracts of the Psychonomic Society, 9, 4097.
Abstract Poster (pdf) Software

Petrov, A. (2004)

The Dynamics of Direct Psychophysical Scaling: A Memory-Based Model. In Proceedings of the 37th Annual Meeting of the Society for Mathematical Psychology.
Abstract Slides (pdf) Software

Petrov, A. (2003)

Additive or Multiplicative Perceptual Noise? Two Equivalent Forms of the ANCHOR Model. In R. Alterman & D. Kirsh (Eds.), Proceedings of the Twenty-Fifth Annual Conference the Cognitive Science Society (pp. 922-927). Hillsdale, NJ: LEA.
Abstract Preprint (pdf) Software

Petrov, A. (2003)

ANCHOR: A Dynamic, Memory-Based Model of Psychophysical Scaling. Abstracts of the Psychonomic Society, 8, 4111.
Abstract Software

Petrov, A. (2001)

Fitting the ANCHOR Model to Individual Data: A Case Study in Bayesian Methodology. In E. M. Altmann, A. Cleeremans, C. D. Schunn, & W. D. Gray (Eds.), Proceedings of the 2001 Fourth International Conference on Cognitive Modeling (pp. 175-180). Mahwah, NJ: LEA.
Abstract Preprint (pdf) Slides (pdf) Software

Petrov, A. & Anderson, J. R. (2000)

ANCHOR: A Memory-Based Model of Category Rating. In L. R. Gleitman & A. K. Joshi (Eds.), Proceedings of the Twenty-Second Annual Conference the Cognitive Science Society (pp. 369-374). Hillsdale, NJ: LEA.
Abstract Full text Preprint (pdf) Slides (pdf) Software

AMBR: Analogy Making with Decentralized Representations

Please visit the AMBR project page to download reprints, data sets, and software.

Kokinov, B. & Petrov, A. (2001)

Integrating memory and reasoning in analogy-making: The AMBR model. In D. Gentner, K. Holyoak, & B. Kokinov (Eds.), The analogical mind: Perspectives from cognitive science (pp. 59-124). Cambridge, MA: MIT Press.
Abstract Excerpts Preprint (pdf)

Kokinov, B. & Petrov, A. (2000)

Dynamic extension of episode representation in analogy-making in AMBR. In L. R. Gleitman & A. K. Joshi (Eds.), Proceedings of the Twenty-Second Annual Conference the Cognitive Science Society (pp. 274-279). Hillsdale, NJ: LEA.
Abstract Preprint (pdf)

Petrov, A. & Kokinov, B. (1999)

Processing symbols at variable speed in DUAL: Connectionist activation as power supply. In Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence (vol. 2, pp. 846-851).
Abstract Full text Preprint (pdf)

Petrov, A. & Kokinov, B. (1998)

Mapping and access in analogy-making: Independent or interactive? A Simulation Experiment with AMBR. In K. Holyoak, D. Gentner, & B. Kokinov (Eds.), Advances in analogy research: Integration of theory and data from the cognitive, computational, and neural sciences (pp. 124-134). Sofia: NBU Press.
Abstract Full text Preprint (pdf)

Petrov, A. (1998)

A dynamic emergent computational model of analogy-making based on decentralized representations. Unpublished doctoral dissertation, New Bulgarian University, Sofia, Bulgaria.
Overview Thesis (pdf)

Kokinov, B., Nikolov, V., & Petrov, A. (1996)

Dynamics of emergent computation in DUAL. In A. Ramsay (Ed.), Artificial intelligence: Methodology, systems, applications (pp. 303-311). Amsterdam: IOS Press.
Abstract Preprint (pdf)

Other Topics

Petrov, A. (2006)

Computationally efficient approximation of the base-level learning equation in ACT-R. In D. Fum, F. del Missier, & A. Stocco (Eds.), Proceedings of the 2006 Seventh International Conference on Cognitive Modeling
Brief description Preprint (pdf) Software

Andonova, E., Gerganov, E., Petrov, A., & Misheva, A. (1996)

Sentence interpretation in Bulgarian. (Tech. Rep. No. NBU-COG-96-1). Sofia: New Bulgarian University, Department of Cognitive Science and Psychology.

Alexandrova, B., Terzieva, M., Petrov, A., Tarnev, I. & Mavlov, L. (1996)

[A study of visuo-perceptive and imagery abilities. I: Assessment of visuo-perceptive abilities] (In Bulgarian). Bulgarian Journal of Psychology, 3, ??-??.

Terzieva, M., Alexandrova, B., Petrov, A., Tarnev, I. & Mavlov, L. (1996)

[A study of visuo-perceptive and imagery abilities. II: Assessment of mental-image generation and transformation] (In Bulgarian). Bulgarian Journal of Psychology, 4, ??-??.