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A Medical Diagnosis System based on MAS Technology and Neural
A Medical Diagnosis System based on MAS Technology and Neural

... decided to only tackle the basic requirements. Thus, the decision was, for the time being, to concentrate first of all on the reactive features of agents only and leave the deliberative behavior for future work if it will turn out that it is needed. Decision about the quality of an answer to a reque ...
Cognitive Science: The Newest Science of the Artificial
Cognitive Science: The Newest Science of the Artificial

... exhibit a wide variety of organizations. All of the computers that have been built in the course of the short history of that species exhibit remarkable similarity of organization, but have been assembled from a most diverse set of alternative component materials. Hence, over these two classes of in ...
PDF
PDF

... – ”knowledge is power” – E.g. SEND + MORE = MONEY puzzle. • Natural language understanding – Time flies like an arrow. – Fruit flies like a banana. – The spirit is willing but the flesh is weak. (English) – The vodka is good but the meat is rotten. (Russian) ...
CSE 571: Artificial Intelligence
CSE 571: Artificial Intelligence

... Week 5: Local Search and Propositional ...
Review of The Cognitive Structure of Emotions
Review of The Cognitive Structure of Emotions

... authors propose a taxonomy of emotion types differentiated by cognitive criteria and discuss the major cognitive factors that determine the type and intensity of emotional experience. They provide detailed descriptions of each emotion class and the specific emotions within it. This book was publishe ...
Machine Translation for Latvian
Machine Translation for Latvian

... Idea of a translation machine is older than the first computer. Today for many people global communication is part of everyday life, in which translation tools can facilitate communication and help to overcome language barriers. Similar to other languages with rather small number of speakers Machine ...
An Artificial Intelligence Approach to Legal Reasoning, by Anne von
An Artificial Intelligence Approach to Legal Reasoning, by Anne von

... Malwin Minsky, in his preface to the collection Semantic Information Processing, defined artificial intelligence as "the :science of making machines do things that would require intelligence if done by [people]. 'u Better known successful applications have included playing chess, identifying bacteri ...
Hybrid Soft Computing Systems: Where Are We Going
Hybrid Soft Computing Systems: Where Are We Going

... probabilistic reasoning systems. They provide lower and upper probability bounds instead of a single value as in most BBN cases. The DS theory was developed independently by Dempster [19] and Shafer [20]. Dempster proposed a calculus for dealing with interval-valued probabilities induced by multiple ...
KOWALSKI, Robert, Anthony Computational logic, including
KOWALSKI, Robert, Anthony Computational logic, including

... which one logic is simulated by another. Together with Marek Sergot, he developed the event calculus, a logic programming representation of causal reasoning, which has been used for such applications as database updates and the logical formalization of natural language. Kowalski was one of the early ...
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- Lorentz Center

... Good old-fashioned cognitive psychology; computations on ...
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... Inference Web - McGuinness and Pinheiro da Silva. Explaining Answers from the Semantic Web: The Inference Web Approach. Web Semantics: Science, Services and Agents on the World Wide Web Special issue: International Semantic Web Conference 2003 - Edited by K.Sycara and J.Mylopoulis. Volume 1, Issue 4 ...
powerpoint - University of York
powerpoint - University of York

... standard) (implemented with RDF and ontological languages) ...
Rīgas Tehniskā universitāte
Rīgas Tehniskā universitāte

... when decision has to be made on incomplete knowledge and limited information about the system’s environment [1]. As regard knowledge representation the autonomous systems are specific because they link units of the knowledge unaided and unassisted by humans (supervisors). So the development of the a ...
lisp_47542238
lisp_47542238

... LISP was one of the earliest high-level programming languages and introduced many ideas such as garbage collection, recursive functions, symbolic expressions, and dynamic type-checking ...
SIGCHI Conference Paper Format
SIGCHI Conference Paper Format

... relevant to the interaction between a user and an application, including the user and applications themselves”. Dey also gives a definition of context awareness as following: “A system is context-aware if it uses context to provide relevant information and/or services to the user, where relevancy de ...
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(slides)

... ML embodies important ideas much better than Java, C++ ...
Cognitive Science and Normativity II
Cognitive Science and Normativity II

... 2. Introduction: Meta, complexity, chance/randomness and mechanizability 2.1.Meta problem Meta problem in general, having its source in philosophy, epistemology, logic, mathematics and even linguistics often recognized in problem of metaphysics, frame problem, ceteris paribus clause, regressum ad i ...
Applications of Various Artificial Intelligence Techniques in Software
Applications of Various Artificial Intelligence Techniques in Software

... cooperate to reach a common goal. These agents are a ...
Part 1 - College of Engineering | Oregon State University
Part 1 - College of Engineering | Oregon State University

... that require “intelligence” Study of the fundamental limits of “intelligent” behavior by computers (c) 2003 Thomas G. Dietterich and Devika Subramanian ...
Slide 1
Slide 1

... Identifiability: It may be impossible to identify the detailed structure of human problem solving using only externallyavailable data. “Optimal” performance is an excellent predictor of human performance in most routine tasks. (c) 2003 Thomas G. Dietterich and Devika Subramanian ...
What is Artificial Intelligence?
What is Artificial Intelligence?

... Dartmouth College in Hanover, New Hampshire. The study is to proceed on the basis of the conjecture that every aspect of learning or any other feature of intelligence can in principle be so precisely described that a machine can be made to simulate it." And this marks the debut of the term "artifici ...
complete  file
complete file

... interest driven by the need to develop artificial systems with near-human capabilities (although this is still remote) and analyse the manner in which humans achieve rule extraction; also by the need to understand deficits caused by brain injury as well as help build artificial systems. A review of ...
reja: a georeferenced hybrid recommender system for
reja: a georeferenced hybrid recommender system for

... order to provide users an easy, quick and suitable access to the information they require from the Web. Recommender systems have arisen in this field because the aim of such systems is to customize the information that receives the users according to their preferences, necessities or tastes. Due to ...
BCA-601
BCA-601

... entering a program easier. Further advancements in computer theory, led to development in computer science and eventually to AI. With the invention of an electronic means of processing data came a medium that made AI possible. ...
What is an Information System? (cont`d)
What is an Information System? (cont`d)

... If an organization’s information is not accurate or complete  People can make poor decisions, costing thousands, or even millions, of dollars ...
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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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