SALT: a knowledge acquisition language for propose-and-revise systems
Artificial Intelligence
Building expert system with KNACK
Knowledge Acquisition
A preliminary analysis of the Soar architecture as a basis for general intelligence
Artificial Intelligence
KADS: a modelling approach to knowledge engineering
Knowledge Acquisition - Special issue on the KADS approach to knowledge engineering
TAQL: a problem space tool for expert system development
TAQL: a problem space tool for expert system development
Some prolog macros for rule-based programming: why? how?
Proceedings of the 2002 ACM SIGPLAN workshop on Rule-based programming
Knowledge maintenance: the state of the art
The Knowledge Engineering Review
ITS '08 Proceedings of the 9th international conference on Intelligent Tutoring Systems
Journal of Artificial Intelligence Research
Explicit representations of problem-solving strategies to support knowledge acquisition
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
Specifying ACT-R models of user interaction with a GOMS language
Cognitive Systems Research
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The strategies used in designing limited method-based tools can be applied to the much broader method that underlies Soar, called the problem space computational model (PSCM). Taql (for task acquisition language), which is the computer representation of PSCM, is discussed. Taql, together with its programming environment, comprises the Soar-based expert-system development tool. A Taql specification consists of a set of Taql constructs, each of which describes some aspect of a PSCM knowledge role. Each of Taql's 17 constructs is a list consisting of a type and a name for the Taql construct instance, followed by a list of arguments. Each argument specifies some aspect of the construct's PSCM knowledge role. Taql's effectiveness is attributed to a combination of PSCM's simplicity and flexibility and the principled way in which Taql was designed.