ENROLL

Kathleen M Galotti

An examination of the way people think and reason, both when given formal laboratory tasks and when facing problems and decisions in everyday life. Students consider their own reasoning and decision making through course exercises. Topics include models of formal reasoning, decision making, heuristics and biases in thinking and problem-solving, moral reasoning, improving skills of higher order cognition.

Prerequisite: Psychology 110 or Cognitive Science 100 or 130

Jonathan R McKinney

This seminar will consider recent work in philosophy, cognitive science and linguistics critical of views of human cognition as "disembodied" and Cartesian. Philosophical sources of the early critiques of symbolic AI and "cartesianism" will be considered (Merleau-Ponty, Dewey), as will the enactive (Cuffari, Di Paolo, and De Jaegher) and ecological (Chemero, Cowley, Steffensen) critiques of language, and current work on embodied cognition by Eleanor Rosch, Hubert Dreyfus, John Haugeland, Andy Clark and Evan Thompson. The seminar will include materials relevant to students in philosophy, linguistics, psychology and cognitive science.

Prerequisite: Cognitive Science 130, or Cognitive Science/Psychology 232 or permission of the instructor.

Kathleen M Galotti

This seminar will focus on the cognitive changes experienced by children in the preschool, elementary, and middle school years, in such realms as perception, attention, memory, thinking, decision-making, knowledge representation, and the acquisition of academic skills. Weekly observation at local day care centers or schools will be a required course component. The seminar will be discussion-based and participants will take turns making presentations and leading discussions. 

Prerequisite: Psychology 250, Cognitive Science 232, Psychology 232 or Intructor consent

Anna N Rafferty

An introduction to the theory of computation. What problems can and cannot be solved efficiently by computers? What problems cannot be solved by computers, period? Topics include formal models of computation, including finite-state automata, pushdown automata, and Turing machines; formal languages, including regular expressions and context-free grammars; computability and uncomputability; and computational complexity, particularly NP-completeness.

Prerequisite: Computer Science 201 and Computer Science 202 (Mathematics 236 will be accepted in lieu of Computer Science 202)

David R Musicant

There are many situations where computer systems must make intelligent choices, from selecting actions in a game, to suggesting ways to distribute scarce resources for monitoring endangered species, to a search-and-rescue robot learning to interact with its environment. Artificial intelligence offers multiple frameworks for solving these problems. While popular media attention has often emphasized supervised machine learning, this course instead engages with a variety of other approaches in artificial intelligence, both established and cutting edge. These include intelligent search strategies, game playing approaches, constrained decision making, reinforcement learning from experience, and more. Coursework includes problem solving and programming.

Prerequisite: Computer Science 201. Additionally Computer Science 202 is strongly recommended.

Jonathan M Lafky

This course introduces experimental economics and behavioral economics as two complementary approaches to understanding economic decision making. We will study the use of controlled experiments to test and critique economic theories, as well as how these theories can be improved by introducing psychologically plausible assumptions to our models. We will read a broad survey of experimental and behavioral results, including risk and time preferences, prospect theory, other-regarding preferences, the design of laboratory and field experiments, and biases in decision making.

Prerequisite: Economics 110 and 111

Marty Baylor, Jason A Decker, Julia F Strand

If you had to explain to a blind person the nature of color, how would you describe it? Is it a property of objects, oscillations of an electric field, a feature of how the eye generates electrochemical signals to send to the brain, or perhaps a property of the experiences themselves? This team-taught course takes  a multidisciplinary approach to color, drawing from physics, psychology, and philosophy. We will explore topics such as the nature of light, visual anatomy, the process by which light is converted to a neural code, color mixing, linguistic differences in color processing, and how color leads us to confront the tension that sometimes exists between appearance and reality.

Prerequisite: Any introductory PHIL or PSYC course higher than 110 or any term of introductory PHYS course higher than 130 (PHYS 131 and 151 or 152 or a 10 week introductory course)

Morgan Rood

Prerequisite: Linguistics 115

Jenna T Conklin

Prerequisite: Linguistics 217

Hope C Sample

We will read selections of writings from various seventeenth and eighteenth century philosophers on metaphysics, epistemology, and ethics. This course will not be limited to any geographic region, as it is open to philosophical traditions from Europe, the Americas, Africa, and Asia. On the metaphysical side, we will cover topics such as time and space, freedom, and divinity. Ethical issues that we will cover include, but are not limited to, moral responsibility, virtue, suffering, and the good life. Further, we will cover epistemic issues concerning belief, perception, and knowledge. In sum, we will gain a deeper insight into perennial philosophical problems as well as an awareness of the assumptions that drive their solutions, given the author’s personal, social, political, and philosophical context.