| L. Stein. Challenging the computational metaphor: Implications for how we think, 1999. |
.... this may be thought of as an increased emphasis on process oriented computation (such as the safe running of a power plant or operating system) rather than result oriented computation (such as calculating a pay cheque or checking whether a given credit card number is valid) As argued in [43, 5], amongst others, the process view of computation is one that is becoming increasingly important, and in which safety considerations are vital. Kowalski and Sadri [27] developed extensions to the traditional logic programming paradigm to incorporate agent features. A key di erence in our approach ....
Stein, L. A., Challenging the Computational Metaphor: Implications for How We Think, Cybernetics and Systems, 30(6), September 1999. Available from http://www.ai.mit.edu/people/las/papers/.
.... this may be thought of as an increased emphasis on process oriented computation (such as the safe running of a power plant or operating system) rather than result oriented computation (such as calculating a pay cheque or checking whether a given credit card number is valid) As argued in [3, 32], amongst others, the process view of computation is one that is becoming increasing important, and in which safety considerations are vital. Kowalski and Sadri [21] developed extensions to the traditional logic programming paradigm to incorporate agent features. A key di#erence in our approach ....
Stein, L. A., Challenging the Computational Metaphor: Implications for How We Think, Cybernetics and Systems, 30(6), September 1999. Available from http://www.ai.mit.edu/people/las/papers/.
.... this may be thought of as an increased emphasis on process oriented computation (such as the safe running of a power plant or operating system) rather than result oriented computation (such as calculating a pay cheque or checking whether a given credit card number is valid) As argued in [3, 32], amongst others, the process view of computation is one that is becoming increasing important, and in which safety considerations are vital. Kowalski and Sadri [21] developed extensions to the traditional logic programming paradigm to incorporate agent features. A key difference in our approach ....
Stein, L. A., Challenging the Computational Metaphor: Implications for How We Think, Cybernetics and Systems, 30(6), September 1999. Available from http://www.ai.mit.edu/people/las/papers/.
....of the environment the individual units are reacting to. The behaviour based approach generated significant advances in mobile robotics [4] and has come to dominate both the fields of robotics and virtual reality [17, 27] It has lead to a revolution in the way computation is thought about [29]. Nevertheless, it has not been entirely successful. Advances in the development of humanoid agents still come disappointingly slowly. Further, there is no single dominant behaviour based architecture that is used by even a large percentage, let al..one a majority, of complete agent developers. The ....
L. A. Stein. Challenging the computational metaphor: Implications for how we think. Cybernetics and Systems, 30(6):473--507, 1999.
....techniques [26] In general, the only means to judge an increase in probability is to run statistical tests over an appropriately sized sample of the agent s behavior. Computational systems, in contrast, are traditionally evaluated based on their final results and or on their resource utilization [29]. The historical definition of computational process (c.f. Babbage, Turing, von Neumann) is modeled on mathematical calculation, and its validity is measured in terms of its ultimate product. If the output is correct if the correct value is calculated then the computation is deemed correct ....
L. A. Stein. Challenging the computational metaphor: Implications for how we think. Cybernetics and Systems, 30(6):473--507, 1999.
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L. Stein. Challenging the computational metaphor: Implications for how we think, 1999.
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Stein, L. A. (1999). Challenging the Computational Metaphor: Implications for How We Think. Cybernetics and Systems 30(6). 1 - 35.
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