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ECE 457 Applied Artificial Intelligence Calendar Description
ECE 457 Applied Artificial Intelligence Calendar Description

... 1. Introduction: goals and definitions of artificial intelligence; intelligent agents and their environment. 2. Search: state space problem formulation and representation; uninformed search; heuristic search; iterative improvement; constraint satisfaction; game-playing. 3. Logic: propositional and f ...
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pdf-fulltext - International Review of Information Ethics

... between the involved actors. Human actors can experience other actors as "actable" if these actors present themselves in a way, which is interpretable out of their own experiences.1 That does not mean that this is the intended interpretation because each actor has an own individual horizon of experi ...
Major AI Research Areas - Cognitive Computing Research Group
Major AI Research Areas - Cognitive Computing Research Group

... Overview of Artificial Intelligence core themes The history of artificial intelligence may be best understood in the context of its core themes and controversies. Below is a brief listing of such AI distinctions, issues, themes and controversies. It would be well to keep these in mind during your re ...
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... consciousness or synthetic consciousness) – on one hand there is hope of being able to design a model for consciousness, on the other hand the actual implementations of such models could be helpful for understanding consciousness. The traditional field of Artificial Intelligence is thus flanked by t ...
Universal Artificial Intelligence
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... The dream of creating artificial devices that reach or outperform human intelligence is many centuries old. In this talk I present an elegant parameter-free theory of an optimal reinforcement learning agent embedded in an arbitrary unknown environment that possesses essentially all aspects of rationa ...
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Here`s a short piece on AI consciousness for the

... If the chemical differences between carbon and silicon impact life itself, we should not rule out the possibility that these chemical differences could also impact whether silicon gives rise to consciousness, even if they do not hinder silicon’s ability to process information in a superior manner ...
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... Act Like Humans AI is the art of creating machines that perform functions that require intelligence when performed by humans Methodology: Take an intellectual task at which people are better and make a computer do it •Prove a theorem •Play chess •Plan a surgical operation •Diagnose a disease •Navig ...
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Artificial Intelligence Informed or Heuristic Search Heuristic

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Quality – An Inherent Aspect of Agile Software Development
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IOSR Journal of Computer Engineering (IOSR-JCE)
IOSR Journal of Computer Engineering (IOSR-JCE)

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Sztuczna inteligencja - mity i rzeczywistość

... Intelligence is at least as much into the links between our various aptitudes that into the various aptitudes themselves and it is a serious mistake to reduce intelligence to the aptitudes that support it. dr hab. inż. Joanna Józefowska, prof. PP ...
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PARKA: A System for Massively Parallel Knowledge Representation

... PARKA is a frame-based knowledge representation system implemented on massively parallel hardware--the Connection Machine (CM-2). PARKA provides a representation language consisting of concept descriptions (frames) and binary relations on those descriptions (slots). The system is designed explicitly ...
Intelligent Agents
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pdf - people.csail.mit.edu
pdf - people.csail.mit.edu

... variety of perspectives and finds that it “are” many things. It has, for example, been interpreted in a variety of ways even within our own field, ranging from the logical view (intelligence as part of mathematical logic) to the psychological view (intelligence as an empirical phenomenon of the natu ...
Research priorities for robust and beneficial artificial intelligence
Research priorities for robust and beneficial artificial intelligence

... that AI research is progressing steadily, and that its impact on society is likely to increase. The potential benefits are huge, since everything that civilization has to offer is a product of human intelligence; we cannot predict what we might achieve when this intelligence is magnified by the tool ...
Advanced Intelligence: Definition, Approach, and Progresses
Advanced Intelligence: Definition, Approach, and Progresses

... Intelligence and Artificial Intelligence? Why do we need Advanced Intelligence today in addition to Artificial Intelligence? How should we deal with Advanced Intelligence in the future? As one of the major contributors to the proposal, this paper would like to provide necessary explanations to the que ...
Lecture 19-20-21 ARTIFICIAL INTELLIGENCE
Lecture 19-20-21 ARTIFICIAL INTELLIGENCE

... The object of research in artificial intelligence (AI) is to discover how to program a computer to perform the remarkable functions that make up human intelligence. This work leads not only to increasing use of computers, but also to an enhanced understanding of human cognitive processes which const ...
Intelligence - Cognitive Science Department
Intelligence - Cognitive Science Department

... rigorously checks the top hits against all the contextual information it can muster: the category name; the kind of answer being sought; the time, place, and gender hinted at in the clue; and so on. And when it feels ‘sure’ enough, it decides to buzz. This is all an instant, intuitive process for a ...
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... demonstrate their products and introduce their companies — the latest example of New York City quickly becoming an AI hub. The AI NexusLab helps early-stage AI companies develop their ventures through a four-month program providing technical support, venture development, and pilot partnerships for e ...
Computational Intelligence
Computational Intelligence

... Concerning natural and artificial intelligence, the paradigm of effective computability implies that mind is represented by program-controlled machines, and mental structures refer to symbolic data structures, while mental processes implement algorithms. Historically the hard core of AI was establis ...
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Technological singularity

The technological singularity is a hypothetical event related to the advent of artificial general intelligence (also known as ""strong AI""). Such a computer, computer network, or robot would theoretically be capable of recursive self-improvement (redesigning itself), or of designing and building computers or robots better than itself. Repetitions of this cycle would likely result in a runaway effect – an intelligence explosion – where smart machines design successive generations of increasingly powerful machines, creating intelligence far exceeding human intellectual capacity and control. Because the capabilities of such a superintelligence may be impossible for a human to comprehend, the technological singularity is the point beyond which events may become unpredictable or even unfathomable to human intelligence.The first use of the term ""singularity"" in this context was made in 1958 by the Hungarian born mathematician and physicist John von Neumann. In 1958, regarding a summary of a conversation with von Neumann, Stanislaw Ulam described ""ever accelerating progress of technology and changes in the mode of human life, which gives the appearance of approaching some essential singularity in the history of the race beyond which human affairs, as we know them, could not continue"". The term was popularized by mathematician, computer scientist and science fiction author Vernor Vinge, who argues that artificial intelligence, human biological enhancement, or brain–computer interfaces could be possible causes of the singularity. Futurist Ray Kurzweil cited von Neumann's use of the term in a foreword to von Neumann's classic The Computer and the Brain.Kurzweil predicts the singularity to occur around 2045 whereas Vinge predicts some time before 2030. At the 2012 Singularity Summit, Stuart Armstrong did a study of artificial general intelligence (AGI) predictions by experts and found a wide range of predicted dates, with a median value of 2040. Discussing the level of uncertainty in AGI estimates, Armstrong said in 2012, ""It's not fully formalized, but my current 80% estimate is something like five to 100 years.""
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