Greg Jensen: Research


Two major themes dominate my research: (1) The rigorous study of basic mechanisms using comparative methods, and (2) precise and appropriate analysis of the resulting data.

Regarding the first theme: Because the human mind is the product of evolution, it stands to reason that many of the mind's core mechanisms are well-preserved across species. Faculties like self-awareness and language did not arise in a vacuum, and our best hope for understanding how they evolved is to situate psychological phenomena in a broad and biologically inclusive context. At the same time, the sophistication of the human mind complicates its study. In order to study learning processes that do not depend on the human capacity for abstraction and language, we can learn a great deal from the study of animals whose problem-solving is not confounded by those processes.

Regarding the second theme: If psychology is to be a natural science, it must embrace the full suite of analytic tools that are now at its disposal. Furthermore, it is essential that the application of these tools respects the formal assumptions upon which they rest. In light of the remarkable advances being made in applied statistics, one of psychology's top priorities is its statistical re-education.

Cognitive Models and Problem-Solving

My cognitive work focuses on basic mechanisms underlying serial learning, reward value, categorization, and task representation.

Experimental Studies

Subject Reviews, Chapters, & Commentary

Behavior Analysis and Decision Making

Understanding the mechanisms underlying mental processes can only be achieved with careful experimental design and rigorous analysis. Behavior analysis draws upon the methodological traditional of the radical behaviorists, while simultaneously recognizing important theoretical advances in cognition and neuroscience.

My work in this area has focused on characterizing how information is processed, and how behaviors are subsequently executed.

Experimental Studies

Subject Reviews, Chapters, & Commentary

Applied Statistics

Quantitative science boils down to two related activities: Measurement and model-building. Both are prerequisites to describing the nature world and predicting outcomes. Expand the scope of what can be measured, and you have given science more lines of attack. Build a better model, and you have given science better predictions against which to compare experimental results.

Experimental Studies

Subject Reviews, Chapters, & Commentary