Richard A. Hullinger
Department of Psychological and Brain Sciences
Indiana University, 1101 E. 10th St., Bloomington, IN 47405
Office: (812) 856-6854
Email: rahullin{AT}indiana{DOT}edu
Updated January, 2015
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Ph.D. in Psychological and Brain Sciences and Cognitive Science, 2011
Indiana University, Bloomington, Indiana
Advisor: John K. Kruschke
Thesis Title: An Evolutionary Analysis of Selective Attention

B.S. in Physics, 1996
B.S. in Computer Science, 1996
Magna Cum Laude
Rensselaer Polytechnic Institute, Troy, NY

Honors and Fellowships

Teaching Experience

Lecturer, Indiana University, Fall 2013 — Present:
P211 Research Methods in Psychology
P660 The Teaching of Psychology
P335 Cognitive Psychology
K300 Statistical Techniques
C105 Brains & Minds, Robots & Computers
P101 Introductory Psychology

Visiting Assistant Professor, Indiana University, Fall 2011 — Spring 2013:
K300 Statistical Techniques
P335 Cognitive Psychology
Q301 Brain and Cognition
C105 Brains & Minds, Robots & Computers
P199 Carrers in Psychology
P102 Introductory Psychology

Instructor, DePauw University, Spring 2010:
PSY100 Introductory Psychology

Associate Instructor, Indiana University, Spring 2009 —Spring 2011:
E104 Brains & Minds, Robots & Computers
K300 Statistical Techniques

Research Interests

       My research interests encompass a range of cognitive science topics with a primary focus on evolutionary simulations of attention and learning. I use simulated evolution as a means to investigate the types of environmental information structures that lead to the emergence of attention as an adaptive mechanism. I employ genetic algorithms to evolve simple connectionist networks in a range of environments. These environments may vary in terms of the underlying structure of the cues and responses, the temporal structure, or the amount of noise that is present in the environment. I then analyze the evolved agents to determine if they show signs of attentional behavior.
       The goal of my work is to explain attentional behaviors as adaptive, evolved responses that can only be fully understood in the context of the environments that gave rise to them.


Kruschke, J.K., & Hullinger, R.H. (2010). Evolution of attention in learning. In: N. Schmajuk (Ed.), Computational Models of Classical Conditioning, pp. 10 - 52. Cambridge University Press.


Professional Experience


 “System for Analyzing Television Programs,” U.S. Patent Number 6,295,092, issued Sept. 25, 2001. Inventors: R. Hullinger et al