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Science of Software
Science of Software

... which are ‘compiled’ into enzymes, amino acids and in due course protein stem cells and finally into all the cells that make one living organism. But there is another process at play that determines whether genes are switched on or off, which sequences are selected, how they are expressed and a vari ...
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... representation of human into four stages. A mythic Golemic age, the age of clocks, the age of steam, and finally, the age of communication and control (Weiner, 1948). We used to connect the figure of robot, as well as a cyborg, with the latest stage of the technological progress, or even with its fu ...
CS 561a: Introduction to Artificial Intelligence
CS 561a: Introduction to Artificial Intelligence

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CS 460: Artificial Intelligence

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Better than Rational - Center for Evolutionary Psychology
Better than Rational - Center for Evolutionary Psychology

... been an efficient research strategy. This is where the integration of evolutionary biology and cognitive science has proved so useful. The applicability of evolutionary biology is based on a simple but powerful idea. Form follows function: the properties of an evolved mechanism reflect the structure ...
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What is an Expert System

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CSE 471/598 Introduction to AI

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Paul Rauwolf - WordPress.com
Paul Rauwolf - WordPress.com

... motivation mechanisms (Oudeyer & Kaplan, 2007). However, to the author’s knowledge, no work has been conducted which systematically compares such algorithms via an indepth study. This work initiated such research by contrasting the advantages and disadvantages of two unique intrinsically motivated h ...
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Using ADP to Understand and Replicate Brain Intelligence: the Next

... making choices which yield better results. Intelligence is about learning how to make better choices To put all this into mathematics, we must have a way to evaluate which results are “better” than which other results. Von Neumann’s concept of Cardinal Utility function [5] provides that measure; it ...
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1 Collective Intelligence as a Field of Multi

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Machine Learning - University of Birmingham
Machine Learning - University of Birmingham

... to perform better on subsequent tasks – Knowledge. Hmmm... How should knowledge be represented? We do not know how it is represented in our own brains! – Think for a moment about how knowledge might be represented in a computer. – If I told you what subjects would come up in the exam, you might do v ...
Invited presentation on the International Diagnosis Competition
Invited presentation on the International Diagnosis Competition

... “As a subfield in artificial intelligence, diagnosis is concerned with the development of algorithms and techniques that are able to determine whether the behavior of a system is correct. If the system is not functioning correctly, the algorithm should be able to determine, as accurately as possible ...
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... [Shor’97] Can use quantum behavior to efficiently factor integers (and break cryptosystems!) ...
Carving Out Evolutionary Paths Towards Greater Complexity
Carving Out Evolutionary Paths Towards Greater Complexity

... general intelligence on the level of, or greater than human, it is important of us to discuss four things: 1. How to abstract intelligence. 2. Architecture of such intelligence and infomorphs (A NN with sensors and actuators). 3. How to evolve such infomorphs. And finally 4. The tool that would most ...
Human-Robot Interaction -Emerging Opportunities
Human-Robot Interaction -Emerging Opportunities

... professional service robots will need to communicate more naturally and spontaneously with people around  Robots will be expected to be understanding, emphatic and intelligent ...
2015 Annual Report - Future of Life Institute
2015 Annual Report - Future of Life Institute

... At the end of 2015, a Washington Post article described 2015 as the year the beneficial AI movement went mainstream. Only 360 days earlier, at the very start of the year, we were hosting the inaugural Puerto Rico Conference that helped launch that mainstreaming process. The goal of the conference wa ...
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P80-1034
P80-1034

... will run on a relatively large personal machine, the HP 9845. This system, or something very much like it, seems likely to reach the marketplace within the next two or three years. Should ROBOT- and REL-like systems prove to be commercial successes, other systems with increasing levels of sophistica ...
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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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