WHO WE ARE ::

Alessandra Boufford
Evalyn Carter
May Chow
David Cron
Matt Gilles
Yuching Lin
YounJoo Sang

research assistants

COLLABORATORS ::

university of arizona
universität mainz
university of manchester
university of massachusetts
universität marburg
nasa ames
hci group
universität
potsdam
John Laird
Satinder Singh
Jonathan Sorg
Akram Helou
michigan computer science
michigan linguistics
michigan psychology

RECENT PAPERS

For more publications, click here.

just published
Psychological Review
Rational adaptation under task and processing constraints: Implications for testing theories of cognition and action

appearing soon
Language and Cognitive Processes
Short-term forgetting in sentence comprehension: Crosslinguistic evidence from verb-final structures

2009
Journal of Experimental Psychology: Learning, Memory, & Cognition
In search of decay in verbal short-term memory

2009
Cognitive Systems Research
A computational unification of cognitive behavior and emotion

2009
Proceedings of the Annual Conference of the Cognitive Science Society
Where do rewards come from?

2008
Annual Review of Psychology
The mind and brain of short-term memory

2008
Cognitive Science
Processing polarity: How the ungrammatical intrudes on the grammatical

2006
Trends in Cognitive Sciences
Computational principles of working memory in sentence comprehension

2006
Language
Argument-head distance and processing complexity: Explaining both locality and anti-locality effects

2005
Cognitive Science
An activation-based model of sentence processing as skilled memory retrieval

Welcome to the Language and Cognitive Architecture Lab at the University of Michigan.

 

about our research

The goal of our research is to develop theories of language, thought, and action—theories capturing the adaptive nature of human behavior, and grounded in integrated architectures that explain how the computational subsystems of the mind and brain work together.

An over-arching theoretical principle guiding much of our work is bounded optimality—the idea that behavior is the adaptive response to the joint constraints of the biological processing architecture and the external probabilistic environment.

The specific topics we focus on are the (boundedly optimal) adaptive control of perceptual, motor, cognitive and linguistic processes; language processing (especially the role of working memory in sentence comprehension and production); flexible artificial intelligence (AI) agents and reinforcement learning; and the interaction of cognition and emotion (especially mirth and other positive emotions).

The work makes contact with several areas of cognitive science, including psycholinguistics, linguistic theory, cognitive psychology, cognitive modeling, human-computer interaction, cognitive architectures, and reinforcement learning. It is highly collaborative (see left). To learn more about the research, click on the topics at left, or the questions below.