Add to ORKGAbstract: In this article we describe an approach to the construction of a general learning mechanism based on chunking in Soar. Chunking is a learning mechanism that acquires rules from goal-based experience. Soar is a general problem-solving architecture with a rule-based memory. In previous work we have demonstrated how the combination of chunking and Soar could acquire search-control knowledge (strategy acquisition) and operator implementation rules in both search-based puzzle tasks and knowledge-based expert-systems tasks. In this work we examine the anatomy of chunking in Soar and provide a new demonstration of it
Original article can be found at: http://www.sciencedirect.com/science/journal/13646613 Copyright El...
245 pagesUnderstanding the computations involved in language acquisition is a central topic in cogni...
Work on continual learning (CL) has largely focused on the problems arising from the dynamically-cha...
Abstract: "Soar is an architecture for intelligence that integrates learning into all of its problem...
Abstract: "In this article we demonstrate how knowledge level learning can be performed within the S...
A preliminary study of SOAR, a general intelligent architecture for automated problem solving and le...
This manual describes Version 4 of Soar, an architecture for problem solving and learning based on h...
This tutorial gives an overview of Soar as an architecture for developing agents as well as cognitiv...
Many learning systems must confront the problem of run time after learning being greater than run ti...
International audienceThis paper presents an implementation of bottom-up learning in a cognitive mod...
When explanation-based learning (EBL) is used for knowledge level learning (KLL), training examples ...
When exposed to perceptual sequences, we are able to gradually identify patterns within and form a c...
This paper is concerned with state space problem solvers that achieve generality by learning strong...
When exposed to perceptual and motor sequences, people are able to gradually identify patterns withi...
For cognitive architectures that encode procedural knowledge as rules, online procedural learning al...
Original article can be found at: http://www.sciencedirect.com/science/journal/13646613 Copyright El...
245 pagesUnderstanding the computations involved in language acquisition is a central topic in cogni...
Work on continual learning (CL) has largely focused on the problems arising from the dynamically-cha...
Abstract: "Soar is an architecture for intelligence that integrates learning into all of its problem...
Abstract: "In this article we demonstrate how knowledge level learning can be performed within the S...
A preliminary study of SOAR, a general intelligent architecture for automated problem solving and le...
This manual describes Version 4 of Soar, an architecture for problem solving and learning based on h...
This tutorial gives an overview of Soar as an architecture for developing agents as well as cognitiv...
Many learning systems must confront the problem of run time after learning being greater than run ti...
International audienceThis paper presents an implementation of bottom-up learning in a cognitive mod...
When explanation-based learning (EBL) is used for knowledge level learning (KLL), training examples ...
When exposed to perceptual sequences, we are able to gradually identify patterns within and form a c...
This paper is concerned with state space problem solvers that achieve generality by learning strong...
When exposed to perceptual and motor sequences, people are able to gradually identify patterns withi...
For cognitive architectures that encode procedural knowledge as rules, online procedural learning al...
Original article can be found at: http://www.sciencedirect.com/science/journal/13646613 Copyright El...
245 pagesUnderstanding the computations involved in language acquisition is a central topic in cogni...
Work on continual learning (CL) has largely focused on the problems arising from the dynamically-cha...