Skip to search formSkip to main contentSkip to account menu

Soar (cognitive architecture)

Known as: Soar 
Soar is a cognitive architecture, created by John Laird, Allen Newell, and Paul Rosenbloom at Carnegie Mellon University. (Rosenbloom continued to… 
Wikipedia (opens in a new tab)

Related topics

Related topics

45 relations
4CAPSACT-RAction selectionAgent architecture

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2013
Highly Cited
2013
THE SOLAR NEIGHBORHOOD. XXXII. THE HYDROGEN BURNING LIMIT,
We construct a Hertzsprung–Russell diagram for the stellar/substellar boundary based on a sample of 63 objects ranging in… 
Highly Cited
2012
Highly Cited
2012
Cognitive Robotics Using the Soar Cognitive Architecture
Our long-term goal is to develop autonomous robotic systems that have the cognitive abilities of humans, including communication… 
2009
2009
Control of Mobile Robots Using the Soar Cognitive Architecture
This paper describes the development of a system that uses computational psychology (the Soar cognitive architecture) for the… 
Highly Cited
2002
Highly Cited
2002
Q: A Scenario Description Language for Interactive Agents
Agent internal mechanisms form the basis for many of the languages proposed for describing agent behavior and interagent… 
Highly Cited
2001
Highly Cited
2001
It knows what you're going to do: adding anticipation to a Quakebot
The complexity of AI characters in computer games is continually improving; however they still fall short of human players. In… 
Highly Cited
1995
Highly Cited
1995
An Architecture for Adaptive Intelligent Systems
Highly Cited
1994
Highly Cited
1994
Enabling agents to work together
l Paradigm 1: Competence emerges from a large number of relatively simple agents integrated by some cleverly engineered… 
Highly Cited
1990
Highly Cited
1990
Integrating, Execution, Planning, and Learning in Soar for External Environments
Three key components of an autonomous intelligent system are planning, execution, and learning. This paper describes how the Soar… 
Highly Cited
1987
Highly Cited
1987
Knowledge Level Learning in Soar
In this article we demonstrate how knowledge level learning can be performed within the Soar architecture. That is, we… 
Highly Cited
1983
Highly Cited
1983
A Universal Weak Method: Summary of Results
The weak methods occur pervasively in Al systems and may form the basic methods for all intelligent systems. The purpose of this… 
By clicking accept or continuing to use the site, you agree to the terms outlined in our Privacy Policy (opens in a new tab), Terms of Service (opens in a new tab), and Dataset License (opens in a new tab)