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Affective Interaction with Life
Affective Interaction with Life

... Posture (posture recognition) ...
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Computational Language

... P(c) = c/N where N is the number of words in a corpus Given, the possible errors, or transformation, how likely is it that error y has operated on candidate x to produce the ...
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... autonomous action, so that they can successfully carry out tasks we delegate to them? How do we build agents that are capable of interacting (cooperating, coordinating, negotiating) with other agents in order to successfully carry out those delegated tasks, especially when the other agents cannot be ...
Front Matter - Assets - Cambridge
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... then abandoned might now be viable because of improved technological capabilities. For that group, I include extensive end-of-chapter notes citing source material. The general reader will miss nothing by ignoring these notes. The main text itself mentions Web sites where interesting films, demonstrat ...
Learning to Parse Natural Language Commands to a
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... Our work falls also into the broader class of grounded language acquisition [24], in which language is learned from situated context, usually by learning over a corpus of parallel language and context data. Other work shows how parsed natural language can be grounded in a robot’s world and action mo ...
what can Artificial Intelligence bring to the musician?
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... This progress has resulted in the production of so-called “high level languages”, in which the programmer can separate herself from the nuts and bolts of how a program works, and think in terms of more abstract – and hence clearer – structures and processes. The nuts and bolts are then left to the a ...
Michael Bradley Johanson, PhD
Michael Bradley Johanson, PhD

... • Developed a series of game-theoretic computer poker agents that placed at or near the top in each year’s Annual Computer Poker Competition. • Publication in Science [1] for creating an optimal, unbeatable computer agent for playing heads-up limit Texas hold’em. This is the first time that a human- ...
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The Philosophical Foundations of Artificial Intelligence
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... can be given: AI is the field devoted to building artifacts capable of displaying, in controlled, well-understood environments, and over sustained periods of time, behaviors that we consider to be intelligent, or more generally, behaviors that we take to be at the heart of what it is to have a mind. ...
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An Introduction to Expert Systems

... Components of Expert Systems Most expert systems have similar basic components. They indude a knowledge base, an inference engine and a user interface. The knowledge base is the programmed knowledge of the expert, both the ’%00k knowledge" and the practical knowledge or heuristics. This holds all of ...
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Uncertainty in Artificial Intelligence Tod S. Levitt WORKSHOP REPORT

... well as experiences with applications of current approaches to real-world problems. This year’s program chairman was Ross Shachter, and the general chairman was Tod Levitt. The workshop was sponsored by the American Association for Artificial Intelligence, Advanced Decision Systems, and Knowledge Sy ...
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... speech and face recognition. Gestures could be simple reflexive responses, like lifting your shoulders when you don't know the answer to a question, or they could be complex and meaningful as when communicating with sign language. Gestures can be like, using objects i.e, we can touch or point them a ...
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... to demonstrate machine intelligence; he pointed out that a machine could fail and still be intelligent. Even so, Turing believed that machines would be able to pass his test by the turn of the century. So far no computer has come close, in spite of 40 years of AI research. While some people still cl ...
Conversations with computers—The Turing test
Conversations with computers—The Turing test

... neither preposterous nor inevitable: while no present computer programs exhibit “intelligence” in any broad sense, the question of whether they are capable of doing so is an experimental one that has not yet been answered either way. The AI debate hinges on a definition of intelligence. Many definit ...
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... software risk, and software safety are discussed. The integration of quality into the software development process as well as the principles of test planning and test execution is also considered. Rationale: These changes are being made at the request of the MSSWE program committee. Their goal is to ...
Fromkin Rodman Hyams 403
Fromkin Rodman Hyams 403

... • Top-down reasoning is powerful, but it can be dangerous if it is not accompanied by bottom-up reasoning. • For example, Otto Jesperson assumed that men were better thinkers than women. • He conducted an experiment in which men and women read a story and were given a quiz. ...
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... Usability At first, many people are impressed by the ease of modelling in ASP. However, once they attack the first more complex problem and draft their first buggy encoding, they become often lost in the flat of declarativity. The solving process is completely transparent. No handle is available for ...
Sistem Pendukung Keputusan
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... arrived at a particular recommendation. ...
Applications of Various Artificial Intelligence Techniques in Software
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... RML is a formalism for expressing software requirements ...
Artificial Participation: An Interview with Warren Sack
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... conversation, word for word, with another friend, Warren Sack, the day before. The weird thing was, I could not tell whether I was causing these two friends to say the same things in response to me, or whether they were coaxing the same words out of me. Of course the conversation stopped being the s ...
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Wizard of Oz experiment

In the field of human-computer interaction, a Wizard of Oz experiment is a research experiment in which subjects interact with a computer system that subjects believe to be autonomous, but which is actually being operated or partially operated by an unseen human being.
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