Journal ArticleDOI
REASON: an intelligent user assistant for interactive environments
TLDR
This paper describes the design methodology used to build REASON (Real-time Explanation And SuggestiON), an intelligent user-assistant prototype for a windowed, multitasking environment that solves problems arising from a user's activity.Abstract:
The provision of intelligent user assistance has been an ongoing problem in designing computer interfaces. Interactive computing environments must support expert as well as novice users when providing advice for error correction and answers to questions directed to a system. To address these issues, we have investigated the application of fairly well-understood artificial intelligence techniques in novel ways to provide intelligent help. This paper describes the design methodology used to build REASON (Real-time Explanation And SuggestiON), an intelligent user-assistant prototype for a windowed, multitasking environment. REASON's central component is an inference engine that solves problems arising from a user's activity. When the user makes one of several different kinds of errors, the inference engine offers dynamically generated suggestions about what the user might have intended. The user can also query REASON using natural language. In addition to providing suggestions of corrected input or answers to questions, REASON can provide two complementary types of explanations of these responses, derived from the inferences that led to them.read more
Citations
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Patent
Intelligent help system
TL;DR: In this paper, an intelligent help system which processes information specific to a user and a system state is described, which incorporates a monitoring device to determine which events to store as data in an historical queue.
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Case-based reasoning system
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TL;DR: In this paper, a case-based reasoning system is integrated into a rule based reasoning system, and a technique for dynamically adapting the case base to the problems which the automated reasoning system encounters, in which the processor may create additional cases which may exemplify the problem or which may be useful for future problems.
References
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Understanding Computers and Cognition: A New Founda- tion for Design
Stephen E. Boi,William G. Lycan,Harry C. Bunt,Christopher S. Butler,Basil Blackwell,Frank Fallside,William A. Woods,Joseph Y. Halpern,Klans Schubert,Sylvia Scribner,Michael Cole,Henk C. van Riemsdijk,Edwin William,Terry Winograd,Fernando Flores +14 more
Book
Understanding Computers and Cognition: A New Foundation for Design
Terry Winograd,Fernando Flores +1 more
TL;DR: It is argued that what AI needs is not so much a hermeneutic approach as a better appreciation of biology and psychology.
Book
Conceptual Structures: Information Processing in Mind and Machine
TL;DR: This book will not become a unity of the way for you to get amazing benefits at all, but, it will serve something that will let you get the best time and moment to spend for reading the book.
Journal ArticleDOI
Intelligent tutoring systems
TL;DR: Computer tutors based on a set of pedagogical principles derived from the ACT theory of cognition have been developed for teaching students to do proofs in geometry and to write computer programs in the language LISP.
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