How computers play chess
Aaron's code
What computers still can't do: a critique of artificial reason
What computers still can't do: a critique of artificial reason
Geometric theorem proving by integrated logical and algebraic reasoning
Artificial Intelligence - Special issue: AI research in Japan
The sciences of the artificial (3rd ed.)
The sciences of the artificial (3rd ed.)
ELIZA—a computer program for the study of natural language communication between man and machine
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Artificial Paranoia: A Computer Simulation of Paranoid Processes
Artificial Paranoia: A Computer Simulation of Paranoid Processes
Artificial Intelligence and Literary Creativity: Inside the Mind of Brutus, a Storytelling Machine
Artificial Intelligence and Literary Creativity: Inside the Mind of Brutus, a Storytelling Machine
Applications of Artificial Intelligence for Chemical Inference: The Dendral Project
Applications of Artificial Intelligence for Chemical Inference: The Dendral Project
AI's Greatest Trends and Controversies
IEEE Intelligent Systems
Artificial Intelligence: A Modern Approach
Artificial Intelligence: A Modern Approach
Hubert L. Dreyfus's Critique of Classical AI and its Rationalist Assumptions
Minds and Machines
A functional theory of design patterns
IJCAI'97 Proceedings of the 15th international joint conference on Artifical intelligence - Volume 1
Design science in information systems research
MIS Quarterly
Cognitive Systems Research
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Goal-directed problem solving as originally advocated by Herbert Simon's means-ends analysis model has primarily shaped the course of design research on artificially intelligent systems for problem-solving. We contend that there is a definite disregard of a key phase within the overall design process that in fact logically precedes the actual problem solving phase. While systems designers have traditionally been obsessed with goal-directed problem solving, the basic determinants of the ultimate desired goal state still remain to be fully understood or categorically defined. We propose a rational framework built on a set of logically inter-connected conjectures to specifically recognize this neglected phase in the overall design process of intelligent systems for practical problem-solving applications.