The book focuses on a conceptual flaw in contemporary artificial intelligence and cognitive science. Many people have discovered diverse manifestations and facets of this flaw, but the …
Intelligence takes many forms. This study explores an insight that animals, humans, and autonomous robots can all be analyzed as multi-task autonomous control systems …
The ability to learn from experience is a fundamental requirement for intelligence. One of the most basic characteristics of human intelligence is that people can learn from problem …
JH Larkin - Complex information processing, 2013 - taylorfrancis.com
Problem solving is often done in the context of an external display. Often there are the physical objects that are part of a problem situation. Alternatively the solver may construct …
S Minton, JG Carbonell, CA Knoblock, DR Kuokka… - Artificial Intelligence, 1989 - Elsevier
This article outlines explanation-based learning (EBL) and its role in improving problem solving performance through experience. Unlike inductive systems, which learn by …
This thesis presents NL-Soar, a detailed computational model of human sentence comprehension that accounts for a broad range of psycholinguistic phenomena. NL-Soar …
In this article we take a step towards providing an analysis of the Soar architecture as a basis for general intelligence. Included are discussions of the basic assumptions underlying …
Here, several leading experts in the area of cognitive science summarize their current research programs, tracing Herbert A. Simon's influence on their own work--and on the field …
In the spring of 1976, while trying to decide on which computer science graduate school to attend, we (John Laird and Paul Rosenbloom) independently visited the Computer Science …