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One Decade of Universal Artificial Intelligence
One Decade of Universal Artificial Intelligence

... acts and observes. This agent perspective of AI [RN10] brings some order and unification into the large variety of problems the fields wants to address, but it is only a framework rather than providing a complete theory of intelligence. In the absence of a perfect (stochastic) model of the environment ...
What`s an Expert System
What`s an Expert System

... » No “deep” understanding of the concepts and their relationships – No “common-sense” knowledge – No knowledge from possibly relevant related domains – “closed world” » The ES knows only what it has been explicitly “told” » It doesn’t know what it doesn’t know  Mechanical reasoning – May not have o ...
Proposal for Ph.D. General Exams
Proposal for Ph.D. General Exams

... theory as a framework for understanding how identity is revealed or “given off” in social communication with other people (and machines). Through this literature I hope to attain a broader understanding of identity – how it is perceived by ego and alter, and what it is composed off – that will infor ...
Encyclopedia of Artificial Intelligence
Encyclopedia of Artificial Intelligence

... (the causes) then steam is escaping (the effect). This is the process of deduction. Many problems, such as diagnosis, involve reasoning in the reverse direction, i.e. the user wants to ascertain a cause, given an effect. This is abduction. Given the observation that steam is escaping, abduction can ...
SFTW461 - University of Macau, Faculty of Science and Technology
SFTW461 - University of Macau, Faculty of Science and Technology

... This course prepares students to work professionally in the area of Artificial Intelligence. Relationship to CS program objectives and outcomes: This course primarily contributes to the Computer Science program outcomes that develop student abilities to: (a) an ability to apply knowledge of computin ...
Universal Artificial Intelligence
Universal Artificial Intelligence

... • Very general: No restriction on internal working of agent. • Correctly orders simple adaptive agents. • Agents with high Υ like AIXI are extremely powerful. • Υ spans from very low intelligence up to ultra-high intelligence. • Practically meaningful: High Υ = practically useful. • Non-anthropocent ...
Talk title: Creative Cognitive Systems Ana
Talk title: Creative Cognitive Systems Ana

... Computational creativity focuses on implementing and evaluating artificial creative systems, while human creative cognition approaches center on working to understand the processes and types of representations humans use when being creative or creatively problem solving. An interdisciplinary cogniti ...
is is an exciting time to be an artificial intelligence... intensive, it ensures that IJCAI adheres to the highest standards...
is is an exciting time to be an artificial intelligence... intensive, it ensures that IJCAI adheres to the highest standards...

... attention in identifying highly innovative papers in these areas. ese are the Machine Learning Track, Knowledge Representation Track and Computational Sustainability Track. Track chairs were encouraged to be innovative in designing their programs. A newproblem paper type is introduced in the Machin ...
IEEE Global Initiative for Ethical Considerations in Artificial
IEEE Global Initiative for Ethical Considerations in Artificial

... communities to identify and find consensus on timely issues. The Initiative contributes to a broader effort being launched at IEEE to foster open, broad and inclusive conversation about ethics in technology, known as the IEEE TechEthics™ program. What We Believe To fully benefit from the potential o ...
Artificial Intelligence - Department of Computing
Artificial Intelligence - Department of Computing

... • At the end of the module students should be able to: – Describe methods for acquiring human knowledge. – Evaluate which of the acquisition methods would be most appropriate in a given situation. – Describe techniques for representing acquired knowledge in a way that facilitates automated reasoning ...
associated
associated

... What is associated? Notice, that James never explicitly formulated the associational principles (APs) (AP1): If the subject is entertaining the thought A, and A is associated with thought B, then the subject will next think thought B – unless this association is overridden by some stronger principl ...
Research Paper
Research Paper

... 2.1 The Turing Test Ref.[1] One of the earliest papers addressing the topic of machine intelligence in relation to digital computing was fielded in 1950 by a British mathematician called Alan Turing. His paper “Computing machinery & intelligence”(Turing, 1950) has proven to be timely in not only its ...
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... test with our AI Agent and being successful (as well on others with a general algorithm), what will this say about human intelligence, these IQ tests, etc.? ...
Coming of Age - Computational Creativity Group
Coming of Age - Computational Creativity Group

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Problem Solving.pps
Problem Solving.pps

... • Having a goal, combined with the current state information can help select the possible next action – Possibly agent may need to consider every alternative action sequences leading to the goal  search for a sequence leading to goal ...
Advance applications of Artificial Intelligence
Advance applications of Artificial Intelligence

... feel. A major thrust of AI is the development of base and some reasoning capability to information computer functions normally associated with systems. human intelligence, such as reasoning, learning, and Also included are adaptive learning systems that problem solving. That is why the term artifici ...
Does the Turing Test Demonstrate Intelligence or Not?
Does the Turing Test Demonstrate Intelligence or Not?

... In this short article, I summarize for an artificial intelligence audience an argument that I have presented at length for a philosophical audience (Shieber, to appear) that attempts to reconcile these two mutually contradictory but well-founded attitudes towards the Turing Test that have been under ...
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animated version
animated version

...  Weizenbaum wanted to show that an AI program could easily appear intelligent  … but there was not much going on inside  Weizenbaum said AI takes rational logic view because the light is better there  He believed that there was more to human int… ...
The Quest for Computable Knowledge — A Short Timeline
The Quest for Computable Knowledge — A Short Timeline

... the robots of Isaac Asimov, the public became used to the idea that computers would eventually have human-like knowledge and reasoning. ...
Making Music with AI: Some examples
Making Music with AI: Some examples

... Isaacson excluded anything related to expressiveness and emotional content. In an interview (see [11], p. 21), Hiller and Isaacson said that, before addressing the expressiveness issue, simpler problems needed to be handled first. We believe that this was a very correct observation in the fifties. A ...
Artificial Intelligence Applications in the Atmospheric Environment
Artificial Intelligence Applications in the Atmospheric Environment

... Moreover, such methods should be able to deal with missing observation data, data of mixed nature (be it nominal, categorical, binary or other), and imitate the behavior and the "intelligence" of the phenomena that need to be modeled and simulated. This means that deterministic modeling, employing f ...
cis479
cis479

... Chopin, B. Artificial Intelligence Illuminated, 2004. Winston, P. H. and Horn, B. K. P. Lisp (3rd Edition), 1989. Course Goals This course is intended to provide an overview of the problems and methods studied in the field of artificial intelligence. The focus of the course will be on the study of m ...
Symbol Grounding and its Implications for Artificial
Symbol Grounding and its Implications for Artificial

... technology, the question has tended to focus specifically on digital technology: could a computer, solely by virtue of running the correct program, think and understand? The affirmative answer to this question is the stance known as Strong AI (Searle, 1980), which has its roots in assertions by famo ...
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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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