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Artificial Intelligence
Artificial Intelligence

... At the conclusion of this course, the successful (passing) students will have an understanding of the basic areas of artificial intelligence including problem solving, knowledge representation, reasoning, decision making, planning, perception and action, and learning - and their applications (e.g., ...
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...  Need to define these tasks and environments.  The difficulty of tasks/environments must be assessed.  Not on populations (psychometrics), but from computational principles. ...
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Lecture 1 - Matteo Matteucci

... methods of symbolic inference by computer and symbolic knowledge representation for use in making inferences. AI can be seen as an attempt to model aspects of human thought on computers. It is also sometimes defined as trying to solve by computer any problem that a human can solve faster. [The Free ...
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From: AAAI Technical Report S-9 -0 . Compilation copyright © 199

... 1994, under the sponsorship of the AmericanAssociation for Artificial Intelligence (AAAI). This workshopfocussed on evaluation, broadly defined to include empirical evaluations of alternative components in CBRsystems, empirical comparisons involving CBRsystems, formal comparisons with other approach ...
Artificial Intelligence
Artificial Intelligence

... One of the techniques for solving problems in artificial intelligence is searching, which is discussed briefly in this section. Searching can be describe as solving a problem using a set of states (a situation). A search procedure starts from an initial state, goes through intermediate states until ...
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... initial state, e.g., In(Arad) actions Actions(s) = set of actions for state s e.g., Actions(In(Arad)) = {Go(Sibiu), Go(T imisoara), Go(Zerind)} transitions Result(s, a) = the successor state e.g., Result(In(Arad), Go(Zerind)) = In(Zerind) goal test, can be an explicit set of states, e.g., {In(Buchar ...
How the electronic mind can emulate the human mind: some
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... metaphor: they view learning as a competition among a population of evolving candidate problem solutions. So a GA is a probabilistic optimization algorithm that makes use of a population of test solutions which artificially reproduce through operations analogous to gene transfer in sexual reproducti ...
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... In this paper, I have provided a survey of topics and resources on the emerging topic of building machines with emotional intelligence. Additionally, I have provided reasoning as to why this topic is important and should be included in introductory AI courses, but I have yet to address the issue of ...
Human Implications of Human-Robot Interaction AAAI Press Papers from the AAAI Workshop
Human Implications of Human-Robot Interaction AAAI Press Papers from the AAAI Workshop

... Copyright © 2006, AAAI Press The American Association for Artificial Intelligence 445 Burgess Drive Menlo Park, California 94025 USA AAAI maintains compilation copyright for this technical report and retains the right of first refusal to any publication (including electronic distribution) arising f ...
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Syllabus Computer Science 600.435 Artificial Intelligence Spring

... Cheating is wrong. Cheating hurts our community by undermining academic integrity, creating mistrust, and fostering unfair competition. The university will punish cheaters with failure on an assignment, failure in a course, permanent transcript notation, suspension, and/or expulsion. Offenses may be ...
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... behaviour. An expert system may perform extensive and costly computations to solve a problem. Unlike a human being, however, if it is given the same or a similar problem a second time, it usually does not remember the solution. It performs the same sequence of computations again. This is true the se ...
2014 08 25 - MyWeb at Loras
2014 08 25 - MyWeb at Loras

... It sounds like cheating, but every artificially intelligent system needs a body of data on which to "train" initially. For Persado, that body of data was text messages sent to prepaid cellphone customers in Europe, urging them to re-up their minutes or opt into special plans. For Amy, it's a race to ...
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... AI and Biomedicine: Helping Scientists with Genomes, Drugs, and Diseases Building a Life Science Company around Statistical Machine Learning Applications of Artificial Intelligence to Web Search Peter ...
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... When we are at home in the world, the meaningful objects embedded in their context of references among which we live are not a model of the world stored in our mind or brain: they are the world itself. [265f; italics in original] There are really two (closely related) points being made here: a negat ...
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... expert systems, uncertainty calculi for knowledge-based systems, knowledge-based planning methodologies, intelligent simulation, the integration of multi-source knowledge, representations of knowledge, link analysis, and the design and implementation of AI support tools and programming languages. Dr ...
IOSR Journal of Computer Engineering (IOSR-JCE)
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...  The emphasis on iterative development & testing of real-time systems in their target domain, and  The emphasis on connecting limited, task-specific perception directly to the expressed actions that require it. The main disadvantages of this model are:  The inability to have many layers, since th ...


... agents is another research area that experienced an unusually high increase in submissions for this year’s conference. Lise Getoor (University of Maryland, College Park) is a prominent young researcher working in the exciting new area of statistical relational learning. Getoor will speak on graph id ...
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... Today, some industries (automobile, electronics) are highly robotized, but home robots are still a thing of the future But robots have rolled on Mars, others are performing brain and heart surgery, and humanoid robots are operational and available for rent (see: http://world.honda.com/news/2001/c011 ...
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A Science Fiction Tale

... Is it possible to design a machine to do archaeology? ...
Discovering the foundations of a universal system
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... Copyright © 2008, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved. ...
A Survey on Artificial Intelligence and Robotics
A Survey on Artificial Intelligence and Robotics

... to complete given tasks within given time limits or deadlines. Suppose there is any robot which complete all the tasks, but if it take so much time to achieve its goals that robot become useless. Hence time management is also essential with accuracy. There are also several cases in which coordinatio ...
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Existential risk from artificial general intelligence

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