Ph.D. Logic, Computation and Methodology
Carnegie Mellon University

M.S. Logic, Computation and Methodology
Carnegie Mellon University

B.A. Mathematics
University of Wisconsin-Madison

B.A. Philosophy
University of Wisconsin-Madison

Editorial Board
Minds and Machines

Choice & Inference

Graduate Center Seminar
Logic, Games & Language
Philosophy, Logic & Games


Web Profiles


City College of New York

The Graduate Center








Manhattan (Midtown)

Manhattan (Upper)



My primary interests are in normative and behavioral decision theory, probability and statistics, logic and computation, algebraic and topological systems, measurement theory, and functional analysis. I also have strong interests in game theory, cognitive science, artificial intelligence, epistemology, and philosophy of science.

At the broadest level, I develop and apply methods and insights from across disciplines –– including mathematics, economics, statistics, psychology, computer science, and philosophy –– to tackle formal, empirical, and theoretical challenges in innovative and illuminating ways. My research has focused on problems in individual and collective judgment, inference, and decision making under conditions of uncertainty, particularly in situations of incomplete or contradictory information; under conditions of unresolved conflict or competing interests; and under conditions of limited time, cognitive capacities, or computational resources.

My intellectual pursuits have benefited from my longstanding affection for computing –– for expertise not only in its theory but also in its applications (C, C++, Java, Perl, Python, R, Shell, PHP, HTML, SQL, CSS, LaTeX, Unix/Linux, etc.).

Born and raised in Milwaukee, I studied percussion at the Wisconsin Conservatory of Music and played in rock bands since I was in grade school. I love to jam and rock out. I also enjoy viewing and engaging in the visual arts, especially film and photography. In my view, creativity is essential to good problem solving and critical thinking. Breaking things is a key part of learning.
+1 650.469.3561
app@arthurpaulpedersen.org | apedersen1@gc.cuny.edu | pedersen@sci.brooklyn.cuny.edu | apedersen@cs.ccny.cuny.edu