303 KD Building
The only way so many different people can agree about so much they experience in the world is if the fundamental substrate for those experiences is identical. This is clearly true at the level of gross physiology, but cognitive scientists believe that this is also true of more abstract categories of phenomena that underpin experience.
By abstract categories, I mean things like attention, memory, values, emotion, and motivation. These aren't physically observable phenomena, but seem to play important organizing roles in any meaningful analysis that tries to understand the lived experience. The hope of cognitive science is to clarify how and why these phenomena arise, interact, and dissipate.
I share this hope, and am trying to do my bit to help this project along, and to see how insights from this research can be used to improve the ways in which computing systems interact with humans.
A value-relativistic decision theory predicts known biases in human preferences. Proceedings of Cog Sci, 2011 (pdf)
A cognitive basis for theories of intrinsic motivation. Proceedings of ICDL 2011 (pdf)
Rational inference of relative preferences. Proceedings of NIPS, 2012 (pdf)
Classical conditioning via inference over observable situation contexts. Proceedings of Cog Sci 2014 (pdf)
Frugal preference formation. Proceedings of Cog Sci 2014 (pdf)
Magnitude-sensitive preference formation. Proceedings of NIPS 2014 (pdf)
Choosing fast and slow. Proceedings of Cog Sci 2015 (pdf)
Attention dynamics in multiple object tracking. Proceedings of Cog Sci 2015 (pdf)
Learning what to want: context-sensitive preference learning. PLoS One 2015 (pdf)
Attention modulates spatial precision in multiple object tracking. Topics in Cognitive Science, 2016 (pdf)
Modeling sampling durations in decisions from experience. Proceedings of Cog Sci 2016 (pdf) preprint
Rationalizing subjective probability distortions. Proceedings of CogSci 2017 (preprint)
A rational analysis of marketing strategies. Proceedings of CogSci 2017 (preprint)
Memory of relative magnitude judgments informs absolute identification. Proceedings of CogSci 2017 (preprint)
(In reverse chronological order)
With Jeeni Rahaman, Harshit Agarwal and Sanjay Chandrasekharan. Mutable concepts and enactable analogies: how manipulatives help in learning area (2017) Cognitive Science , 2017
With Narayanan Srinivasan. Intertemporal impulsivity can also arise from persistent failure of long-term plans: Comment on Nettle & Pepper (2017) Behavioral and Brain Sciences , 2017
With LSR group, HBCSE Mumbai. Seeing Eye to I: The saccadic self. Proceedings of Cog Sci 2015.
With Anveshna Srivastava and Sanjay Chandrasekharan. Track the process, not just the outcome: procedural analysis of concept-mapping reveals stages in students’ understanding of biology concepts. Proceedings of AERA 2014
With Paul Freeman, Rohit Pandita and Gary Balas. Model-based and Data-driven Fault Detection Performance for a Small UAV. IEEE Transactions on Mechatronics , May 2013
With Komal Kapoor, Jaideep Srivastava and Paul Schrater. Measuring spontaneous devaluations in user preferences. Proceedings of KDD 2013
With C Wade Savage. A structuralist view of metacognition in animals, Cognitive Critique , 2012
With Amogh Mahapatra and Jaideep Srivastava. Contextual anomaly detection for text data. Algorithms 2012
With Paul Schrater. Active inference with embodied cognitive limitations. Workshop on Information in Perception and Action, NIPS 2012
With Amogh Mahapatra and Jaideep Srivastava. Characterizing the Internet's sense of humor. In Proceedings of IEEE SocialCom/PASSAT, 2012
With Komal Kapoor, Christopher Amato and Paul Schrater. Using POMDPs to Control an Accuracy-Processing Time Tradeoff in Video Surveillance. Proceedings of IAAI, 2012
With Paul R Schrater. Cognitive efficiency as a causal mechanism for social preferences. In Proceedings of IEEE SocialCom/PASSAT, 2011
With Paul R Schrater. A predictive model for self-motivated decision-making behavior. Proceedings of BRIMS (2011)
With Jaideep Srivastava. A hybrid-logic algorithm for fault detection in complex cyber-physical systems. Proceedings of PHM, (2010)
With Pramod K Srivastava, Modeling the repertoire of true tumor-specific MHC I epitopes in a human tumor, PLoS One (2009)
The relativity of theory, (2009) arXiv:0902.3479
With Arindam Banerjee. Conditionally Positive Definite Kernels and Infinitely Divisible Distributions, TR08-034, Dept of CSE, University of Minnesota, 2008
With Sitabhra Sinha. Is inequality inevitable in organized society? In Econophysics of Markets and Business Networks, Springer Milan Press, 2007
Muhammad Aurangzeb Ahmed Visiting Research Scientist. Agent-based simulations of religious affiliation and conversions.