Heuristics: intelligent search strategies for computer problem solving
Heuristics: intelligent search strategies for computer problem solving
A sufficient condition for backtrack-bounded search
Journal of the ACM (JACM)
Principles of artificial intelligence
Principles of artificial intelligence
Artificial intelligence: a knowledge-based approach
Artificial intelligence: a knowledge-based approach
Case-based planning: viewing planning as a memory task
Case-based planning: viewing planning as a memory task
Knowledge representation: logical, philosophical and computational foundations
Knowledge representation: logical, philosophical and computational foundations
Games, computers and artificial intelligence
Artificial Intelligence - Chips challenging champions: games, computers and Artificial Intelligence
Artificial Intelligence - Chips challenging champions: games, computers and Artificial Intelligence
Improving heurisitic mini-max search by supervised learning
Artificial Intelligence - Chips challenging champions: games, computers and Artificial Intelligence
Operations Research and Artificial Intelligence: The Integration of Problem-Solving Strategies
Operations Research and Artificial Intelligence: The Integration of Problem-Solving Strategies
Solving Inexact Search Problems
Solving Inexact Search Problems
Constraint Processing
Introduction: machine learning as philosophy of science
Minds and Machines - Machine learning as experimental philosophy of science
Minds and Machines - Machine learning as experimental philosophy of science
Asking What's Inside the Head: Neurophilosophy Meets the Extended Mind
Minds and Machines
Walter J. Freeman, How Brains Make Up their Minds
Minds and Machines
Universal Intelligence: A Definition of Machine Intelligence
Minds and Machines
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From an object-oriented perspective, this paper investigates the interdisciplinary aspects of problem representation as well the differences between representation of problems in the mind and that in the machine. By defining an object as a combination of a symbol-structure and its associated operations, it shows how the representation of problems can become related to control, which conducts the search in finding a solution. Different types of representation of problems in the machine are classified into four categories, and in a similar way four distinct models are distinguished for the representation of problems in the mind. The concept of layered hierarchies, as the main theme of the object-oriented paradigm, is used to examine the implications of problem representation in the mind for improving the representation of problems in the machine.