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In computer science, agent architecture is a blueprint for software agents and intelligent control systems, depicting the arrangement of components. The architectures implemented by intelligent agents are referred to as cognitive architectures. Computer science, or computing science, is the study of the theoretical foundations of information and computation and their implementation and application in computer systems. ...
For other uses, see Blueprint (disambiguation). ...
In computer science, a software agent is an abstraction, a logical model that describes software that acts for a user or other program in a relationship of agency. ...
All control techniques that use various soft computing approaches like neural networks, Bayesian probability, fuzzy logic, machine learning, evolutionary computation and genetic algorithms can be put into the class of intelligent control. ...
Simple reflex agent Learning agent The terms agent and intelligent agent are ambiguous and have been used in two different, but related senses, which are often confused. ...
A cognitive architecture is a blueprint for intelligent agents. ...
Layered architectures include: ICARUS, AuRA, GRL and subsumption Subsumption architecture is an AI concept originating from behavior based robotics. ...
Cognitive architectures include: Soar, ACT-R, Cougaar and PRODIGY A cognitive architecture is a blueprint for intelligent agents. ...
Soar (also known as SOAR) is a symbolic cognitive architecture, created by John Laird, Allen Newell, and Paul Rosenbloom at Carnegie Mellon University. ...
ACT-R (pronounced act-ARE: Adaptive Control of Thought--Rational) is a cognitive architecture mainly developed by John R. Anderson at Carnegie Mellon University. ...
Cougaar is a Java-based architecture for the construction of large-scale distributed agent-based applications. ...
See also
Action selection is a way of characterizing the most basic problem of intelligent systems: what to do next. ...
A cognitive architecture is a blueprint for intelligent agents. ...
References - Comparison of Agent Architectures (pdf)
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