Cognitive Systems Research 

TL;DR: It is shown how psychological theories of emotion shed light on the interaction between emotion and cognition, and thus can inform the design of human-like autonomous agents that must convey these core aspects of human behavior.

TL;DR: The motivations for research on cognitive architectures are examined, some candidates that have been explored in the literature are reviewed, and some properties that a cognitive architecture should exhibit related to representation, organization, performance, and learning are considered.

TL;DR: Current developments in a computational model of emotion processes are discussed and how a single-level model of appraisal obviates a multi-level approach within the context of modeling a naturalistic emotional situation is illustrated.

TL;DR: This work has dissected the discourse and pedagogical strategies these unskilled tutors exhibit by analyzing approximately 100 hours of naturalistic tutoring sessions.

TL;DR: A set of reinforcement-learning algorithms based on estimating value functions and convergence theorems for these algorithms are described and presented in a way that makes it easy to reason about the behavior of simultaneous learners in a shared environment.