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An Adoptive Medical Diagnosis System Using Expert System with
An Adoptive Medical Diagnosis System Using Expert System with

... the good medical services to their country people because healthy people make healthy country. Medical science field is an enormous field that includes a large number of expertise, knowledge and information [1]. In this paper, a model of Adoptive Medical Diagnosis System (AMDS) using Expert System ( ...
J89-1010 - Association for Computational Linguistics
J89-1010 - Association for Computational Linguistics

... Books listed below that are marked with a dagger will be reviewed in a future issue. Readers who wish to review books for the journal should write, outlining their qualifications, to the book review editor, Graeme Hirst, Department of Computer Science, University of Toronto, Toronto, Canada M5S IA4. ...
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... (a) which block to pick, (b) which to stack, (c) which to unstack, (d) whether to stack a block or (e) whether to unstack an already stacked block. These options have to be searched in order to arrive at the right sequence of actions. ...
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cognitive wheels: the frame problem of ai daniel c. dennett

... - as opposed to ignorant - being is the one who lights the match to peer into the fuel tank, who saws off the limb he is sitting on, who locks his keys in his car and then spends the next hour wondering how on earth to get his family out of the car. But when we think before we leap, how do we do it ...
Deriving and Using Abstract Representation in Behavior-Based Systems Monica N. Nicolescu
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... tance of relying on real embedded behaviors. As a next goal, we seek to automate the behavior network generation and to use the representation to address humanrobot interaction. The abstract representation should allow us to employ simple communication mechanisms which would enable the robots to ben ...
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... is needed are dedicated tools, techniques, and methodologies to facilitate the development of answer set programs. In a nutshell, we need Software Engineering capacities that are adept enough to match ASP’s high level of declarativity. First work on this can be found in [48–51] but much more work is ...
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... Concept searching is rendered complex by the fuzzy nature of a concept, the many possible implementations of the same concept, and the many more ways that the many implementations can be expressed in natural language. This is further compounded by concept search across different languages. Computers ...
Ten Years of Autonomous Agents and Multiagent Systems
Ten Years of Autonomous Agents and Multiagent Systems

... Unsurprisingly, many of the intellectual roots of multiagent systems research can be found in the field of distributed problem solving, and that subfield continues to be very active. The article Distributed Problem Solving by William Yeoh and Makoto Yokoo focuses on distributed constraint reasoning ...
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... •  Special purpose for chess playing" •  +200 million pos./sec." ...
Connectionist architectures for artificial intelligence
Connectionist architectures for artificial intelligence

... Summaries of conceptual dependency, semantic nets, frames, and scripts. This material is covered in The Handbook of Artificial Intelligence, but Rich’s presentation is somewhat more complete. Buchanan and Shortliffe, Rule-based Expert Systems, Chapter 2. An overview of production systems. Winston, A ...
CS 188: Artificial Intelligence Course Staff Course Information
CS 188: Artificial Intelligence Course Staff Course Information

... § Brains (human minds) are very good at making rational decisions, but not perfect § Brains aren’t as modular as software, so hard to reverse engineer! § “Brains are to intelligence as wings are to flight” § Lessons learned from the brain: memory and simulation are key to decision making ...
CS 294-5: Statistical Natural Language Processing
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...  Currently, none of you are assigned to sections.  You are welcome to attend any section of your preference.  Piazza survey later this week to help keep sections balanced.  From past semesters’ experience we know sections will be (over)crowded the first two weeks of section, but then onwards sec ...
E-Learning Using Artificial Intelligence
E-Learning Using Artificial Intelligence

... This paper takes a step back and looks at the role that AI plays in Computer Science teaching and research since its inception, as well as areas for future development. The paper describes how AI is incorporated into the Computer Science curriculum. The paper also discusses how AI is used in the ins ...
Reports of the AAAI 2010 Conference Workshops
Reports of the AAAI 2010 Conference Workshops

... As we move down this list, the computational system is charged with progressively more responsibility for providing a user with a fun experience. But what is fun? We seem to know it when we see it, but fun is also highly subjective. Can we computationally model fun? Can intelligent systems learn and ...
Integrated Access to Cultural Heritage
Integrated Access to Cultural Heritage

... skos:ConceptScheme construct for this. It also introduces specific properties to represent the links between different KOSs and the concepts they contain. The term skos:inScheme asserts that a given concept is part of a given concept scheme, while skos:hasTopConcept states that a KOS contains a conc ...
A philosophical basis for knowledge acquisition
A philosophical basis for knowledge acquisition

... and you are confident that if only you persevere, you will overcome the problems and the system's knowledge will become complete. Generally there are no further reports beyond the prototype stage, but where there are, a different story emerges. McNamara et al (1988) have started again with a new des ...
The role of artificial intelligence techniques in training
The role of artificial intelligence techniques in training

... emergence of second generation expert systems (Steels, 1990). In others words, research on educational applications helped to develop the methodology for analyzing expertise (knowledge engineering). Similar contributions have been produced in cognitive psychology. The work on learner modelling (tryi ...
Karlsruhe Text - Tecfa
Karlsruhe Text - Tecfa

... emergence of second generation expert systems (Steels, 1990). In others words, research on educational applications helped to develop the methodology for analyzing expertise (knowledge engineering). Similar contributions have been produced in cognitive psychology. The work on learner modelling (tryi ...
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Knowledge representation and reasoning

Knowledge representation and reasoning (KR) is the field of artificial intelligence (AI) dedicated to representing information about the world in a form that a computer system can utilize to solve complex tasks such as diagnosing a medical condition or having a dialog in a natural language. Knowledge representation incorporates findings from psychology about how humans solve problems and represent knowledge in order to design formalisms that will make complex systems easier to design and build. Knowledge representation and reasoning also incorporates findings from logic to automate various kinds of reasoning, such as the application of rules or the relations of sets and subsets.Examples of knowledge representation formalisms include semantic nets, systems architecture, Frames, Rules, and ontologies. Examples of automated reasoning engines include inference engines, theorem provers, and classifiers.
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