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guidelines for the final applied ethics paper
guidelines for the final applied ethics paper

... often give you a perspective on the issue that others lack.  Since this paper is a defense of what YOU think, outside sources are not required. They are, however, useful for providing data, arguments, and opposing ideas. If you use outside sources, including research studies or statistical data, be ...
A Medical Diagnosis System based on MAS Technology and Neural
A Medical Diagnosis System based on MAS Technology and Neural

... over its internal state and its goals. 2. Responsiveness/Reactivity: An intelligent agent perceives its environment, and responds in a timely fashion to changes that occur in it in order to satisfy its design objectives. 3. Pro-activeness: An intelligent agent is goal directed, deliberative, opportu ...
PDF only - at www.arxiv.org.
PDF only - at www.arxiv.org.

... The basic idea behind Evolutionary Robotics is to evolve a set of neural controllers for a particular task at hand. It involves use of various input parameters such as Infra-red sensors, light sensors and vision based methods. This paper aims to explore the evolution of vision based navigation in a ...
Dr. Eick`s Introduction to AI
Dr. Eick`s Introduction to AI

... • Computers show promise to control the current waste of energy and other natural resources. • Computer can work in environment that are unsuitable for human beings. • If computers control everything --- who controls the computers? • If computers are intelligent what civil rights should be given to ...
1 HUBERT L. DREYFUS Curriculum Vitae Department of
1 HUBERT L. DREYFUS Curriculum Vitae Department of

... 51. (with Stuart Dreyfus), "Mindless Machines: Computers Don't Think Like Experts, and Never Will," The Sciences, (The New York Academy of Sciences, November/December 1984). 52. (with Stuart Dreyfus), "Skilled Behavior: The Limits of Intentional Analysis," Phenomenological Essays in Memory of Aron G ...
news summary (5)
news summary (5)

... words. I think about the words, and I tell everyone I meet, ‘This is what I’m doing.’ I say it, and then I believe it. By telling people, you’re committed to it, and they help you. And it works. ” He says he used the technique to land his early computing jobs, including the most significant— at SRI ...
Two Paradigms Are Better Than One, And Multiple
Two Paradigms Are Better Than One, And Multiple

... of theories, paradigms, technologies, and tools. Many AI systems are based on one dominant paradigm with a few subsidiary modules for handling exceptions or special cases. Some systems are built from components that perform different tasks, but each component is based on a single paradigm. Since peo ...
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01-intro

... • To introduce you to a set of key: paradigms, techniques and algorithms ...
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... Diagram of a Turing Machine, which can be adapted into a “Universal Machine.” ...
Kant`s Categorical Imperatives
Kant`s Categorical Imperatives

... •Like Kant, Karl Marx considered that as people are rational they are capable of making free choices and should be treated with respect, ends in their own right, not as means to a capitalist end. •People should collectively act as though they were a member of a law making kingdom of ends. Historical ...
artificial intelligence
artificial intelligence

... objective of developing artificial intelligence systems – List the characteristics of intelligent behavior and compare the performance of natural and artificial intelligence systems for each of these characteristics – Identify the major components of the artificial intelligence field and provide one ...
What Is an Intelligent Agent?
What Is an Intelligent Agent?

... "Firstly, agents may be classified by their mobility, i.e. by their ability to move around some network. This yields the classes of static or mobile agents. Secondly, they may be classed as either deliberative or reactive. Deliberative agents derive from the deliberative thinking paradigm: the agent ...
Commonsense Reasoning - NYU Computer Science
Commonsense Reasoning - NYU Computer Science

... “Qualitative Physics,” (de Kleer and Brown, 1985), (Kuipers, 1986).) Complex physical systems, particularly artificial devices, can often be effectively analyzed by viewing them as a collections of connected components. In simple cases, the connections between the components remain constant over tim ...
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... a new research horizon, "Artificial Intelligence (AI)," at the Dartmouth conference held at Dartmouth College in the United States of America. Research had previously been conducted on whether computers could be invented or intelligence artificially realized, but AI was officially set as a research ...
Artificial Intelligence and Robotics and Their Impact on the Workplace
Artificial Intelligence and Robotics and Their Impact on the Workplace

... Modern information technologies and the advent of machines powered by artificial intelligence (AI) have already strongly influenced the world of work in the 21st century. Computers, algorithms and software simplify everyday tasks, and it is impossible to imagine how most of our life could be managed ...
From Philosophy and Mental-Models to Semantic Desktop research
From Philosophy and Mental-Models to Semantic Desktop research

... extent of making creative discovery or showing sophisticated behavior like understanding the concept of emotional love. According to Dietrich [Dietrich2002], the most important of the whether problems lie at the intersection of theories of the semantic content of thought and the nature of computatio ...
Advances in Artificial Intelligence Using Speech Recognition
Advances in Artificial Intelligence Using Speech Recognition

... demonstration of speech units, and representation of suitable and appropriate inputs. It is significant to bring into the notice that, among all methods of speech recognition, artificial intelligence is the most credible and efficient methods. In general, artificial intelligence can be understood as ...
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as a PDF

... We take scenarios designed by human subject matter experts as our point of reference for scenario quality (i.e., completeness, soundness, and plausibility). Since, in the final analysis, a human expert is the best judge of a given scenario’s quality it seems logical to assume that this expert will p ...
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Slides - Neural Network Research Group

... • Neural nets powerful in many statistical domains ...
Decision-Theoretic Planning for Multi
Decision-Theoretic Planning for Multi

... • Sequential decisions: problems are formulated as a sequence of discrete “independent” decisions. • Markovian environment: the state at time t depends only on the events at time t − 1. • Stochastic models: the uncertainty about the outcome of actions and sensing can be accurately captured. • Object ...
An Associator Network Approach to Robot Learning by Imitation
An Associator Network Approach to Robot Learning by Imitation

... Imitation learning is common in everyday life and it speeds up the learning process [22]. Many forms of elaborate behaviour such as social interaction and tool manipulation are learnt by one generation through the imitation of the previous generation [18]. As a result of the role played by imitation ...
Artificial Intelligence for Speech Recognition Based on Neural
Artificial Intelligence for Speech Recognition Based on Neural

... Model of speech recognition was based on artificial neural networks. This was investigated to develop a learning neural network using genetic algorithm. This approach was implemented in the system identification numbers, coming to the realization of the system of recognition of voice commands. A sys ...
AI PLANNING FOR TRANSPORTATION LOGISTICS
AI PLANNING FOR TRANSPORTATION LOGISTICS

... The area of domain independent heuristic planning has been pushed forward by the ASP [3] and HSP [4] planners. These planners traverse the state-space in a forward direction. In order to estimate the distance between each state and the goals, the planners compute an estimate of the distance between ...
Artificial Intelligence (AI): Trying to Get Computers to Think Like Us
Artificial Intelligence (AI): Trying to Get Computers to Think Like Us

... AI is a field older than most realize – the term was coined in the mid 1950s. The field is comprised of many subfields but the main focus is on building intelligent entities. In order to achieve this goal many subcomponents need to be built, including methods for assisting computers to think like hu ...
behavioral animation for crowd simulation
behavioral animation for crowd simulation

... Thus, the tedious and labor-intensive work of motion design process is automated, leaving merely the behavior design to the animator. The main purpose of this thesis study is to develop a behavioral animation system for crowd simulation. The system will include components like perception, memory, le ...
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Ethics of artificial intelligence

The ethics of artificial intelligence is the part of the ethics of technology specific to robots and other artificially intelligent beings. It is typically divided into roboethics, a concern with the moral behavior of humans as they design, construct, use and treat artificially intelligent beings, and machine ethics, concern with the moral behavior of artificial moral agents (AMAs).
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