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Machine Ethics, the Frame Problem, and Theory of Mind
Machine Ethics, the Frame Problem, and Theory of Mind

... need to account for in our inference rules (and perceptual capabilities), and the problem will only get worse as the behavioral repertoire of the robot is expanded. Letting M1 perform actions like moving towers around, throwing objects, and repainting towers, will make the programmer’s task a nightm ...
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... the motor for the evolution of the artificial organisms would be their competition for CPU (central processing unit) time. The less CPU time that a digital organism needed to replicate, the more "fit" it would be in its "natural" computer environment. Ray called his system Tierra, the Spanish word f ...
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MIT Mobile Robots - What`s Next? - DSpace@MIT
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Diagnosis of Pulmonary Embolism Using Fuzzy Inference System
Diagnosis of Pulmonary Embolism Using Fuzzy Inference System

... • Despite its name Fuzzy Logic is not nebulous, cloudy or vague. • It provides a very precise approach for dealing with uncertainty which is derived from complex human behavior. • Fuzzy Logic is so powerful, mainly because it does not require a deep understanding of a system or exact and precise num ...
Quo vadis, computational intelligence
Quo vadis, computational intelligence

... combinatorial in nature and their solution requires heuristic search techniques. Learning is used to gain knowledge that expert systems may employ for reasoning, and is frequently based on logic. Other branches of computational intelligence are concerned with lower level problems, are more on the pa ...
Quo vadis, computational intelligence?
Quo vadis, computational intelligence?

... topic”. It is obviously a very broad topic now, including good part of neural networks research [5]. In 1982 Hopfield network [26], in 1986 the backpropagation algorithm [49], and a year later the PDP books [7] brought the neural network field to the center of attention. Since that time the field of ...
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Philosophy of artificial intelligence



The philosophy of artificial intelligence attempts to answer such questions as: Can a machine act intelligently? Can it solve any problem that a person would solve by thinking? Are human intelligence and machine intelligence the same? Is the human brain essentially a computer? Can a machine have a mind, mental states and consciousness in the same sense humans do? Can it feel how things are?These three questions reflect the divergent interests of AI researchers, cognitive scientists and philosophers respectively. The scientific answers to these questions depend on the definition of ""intelligence"" and ""consciousness"" and exactly which ""machines"" are under discussion.Important propositions in the philosophy of AI include:Turing's ""polite convention"": If a machine behaves as intelligently as a human being, then it is as intelligent as a human being. The Dartmouth proposal: ""Every aspect of learning or any other feature of intelligence can be so precisely described that a machine can be made to simulate it."" Newell and Simon's physical symbol system hypothesis: ""A physical symbol system has the necessary and sufficient means of general intelligent action."" Searle's strong AI hypothesis: ""The appropriately programmed computer with the right inputs and outputs would thereby have a mind in exactly the same sense human beings have minds."" Hobbes' mechanism: ""Reason is nothing but reckoning.""↑ ↑ ↑ ↑ ↑ ↑
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