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A DAI Perspective on Cooperating Knowledge
A DAI Perspective on Cooperating Knowledge

... However, DAI is more than just the design of intelligent systems. It also provides insights and understanding about interactions among humans, as they organize themselves into various groups, committees, societies, and economies in order to improve their lives. For example, economists have been stud ...
Data and Knowledge Engineering for Intelligent Information Systems
Data and Knowledge Engineering for Intelligent Information Systems

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Artificial Intelligence Winter 2004

... Introduction into artificial intelligence as a discipline of computer science: „ Theoretical foundations, logic and mathematics „ Methods, languages and algorithms „ Major application areas: Where can AI be used „ Very important: z Modeling the Reality z Abstract thinking CPSC 533 - Artificial Intel ...
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Artificial Intelligence - Personal Web Page

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The Philosophical Foundations of Artificial Intelligence
The Philosophical Foundations of Artificial Intelligence

... This is itself a deep philosophical question, and attempts to systematically answer it fall within the foundations of AI as a rich topic for analysis and debate. Nonetheless, a provisional answer can be given: AI is the field devoted to building artifacts capable of displaying, in controlled, well-u ...
Determination, Uniformity, and Relevance: Normative
Determination, Uniformity, and Relevance: Normative

... system uses must be programmed in ahead of time, so that they are either explicitly represented in the knowledge base or derivable from it. Much of the research in machine learning, from the early days when the robot Shakey was learning macro-operators for action [29J to more recent work on chunking ...
Lecture 0 - Computer Science
Lecture 0 - Computer Science

... Formal proof by hand is difficult Have proof checked or generated automatically by a computer Higher Order Logic, or HOL, is a widelyused tool for creating formal specifications of systems, and for proving properties about them. It has been used in both industry and academia to support formal reason ...
Decision support and business intelligence systems
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Contributions to artificial intelligence: the IIIA perspective
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Kowalski
Kowalski

... By the end of the summer of 1972, Colmerauer’s group had developed the first Prolog, and implemented a natural language question-answering system. The first Prolog was an implementation of SL-resolution for the full clausal form of first-order logic, including ancestor resolution. The first explicit ...
MS PowerPoint format - Kansas State University
MS PowerPoint format - Kansas State University

... – Recommended references: Nilsson and Genesereth (excerpt of Chapter 5 online) ...
Extending an Indonesian Semantic Analysis
Extending an Indonesian Semantic Analysis

... A question anwering (QA) system seeks to provide answers to questions expressed in natural language, where the answers are to be found in a given collection of documents. QA systems typically require more sophisticated linguistic analysis than conventional information retrieval, as they need to reas ...
intro - Department of Computer Science
intro - Department of Computer Science

... Formal proof by hand is difficult Have proof checked or generated automatically by a computer Higher Order Logic, or HOL, is a widelyused tool for creating formal specifications of systems, and for proving properties about them. It has been used in both industry and academia to support formal reason ...
Chapter 1: Application of Artificial Intelligence in Construction
Chapter 1: Application of Artificial Intelligence in Construction

... Computer Vision: The world is composed of three-dimensional objects, but the inputs to the human eye and computers' TV cameras are two dimensional. Some useful programs can work solely in two dimensions, but full computer vision requires partial three-dimensional information that is not just a set ...
The Evolution of Artificial Intelligence in Workplaces
The Evolution of Artificial Intelligence in Workplaces

... Within this framework, Konica Minolta’s vision is to create a cognitive hub that is not simply a new device but an entirely new cyber-physical platform. It will act as a nexus for clients’ information flows within the digital workplace. By aggregating physical and digital data, Konica Minolta will p ...
Computer Confluence 6/e
Computer Confluence 6/e

... Most people have trouble knowing and describing how they do things. There are vast differences between the capabilities of the human brain and those of a computer. Even the most powerful supercomputers can’t approach the brain’s ability to perform parallel processing. ...
A Unified Framework for Pattern Recognition, Image Processing
A Unified Framework for Pattern Recognition, Image Processing

... The next generation computers will be knowledge-based systems which is a sub-domain of artificial intelligence (AI) techniques, and so AI provides the essential link between the above mentioned pattern recognition domains and different application systems. The present paper is an upgradation of the ...
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Artificial Intelligence and Expert Systems
Artificial Intelligence and Expert Systems

... General problem solvers cannot be used to build high performance ES Human problem solvers are good only if they operate in a very narrow domain Expert systems must be constantly updated with new information The complexity of problems requires a considerable amount of knowledge about the problem area ...
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... 7. To know classical examples of artificial intelligence such as game playing. 8. To provide a thorough treatment of the knowledge representation languages, which includes propositional calculus, predicate calculus, and first order logic. 9. To introduce the specification of different architectures ...
Legal Expert System - CIS @ Temple University
Legal Expert System - CIS @ Temple University

... a legal expert system, as logical discussions and arguments are often based around convincing other sides of your views and changing your own views to fit the discussion. Again, nonmonotonic systems have not been developed or explored yet, so there are not really current applications for such a syst ...
Angry-HEX: An Artificial Player for Angry Birds Based on Declarative
Angry-HEX: An Artificial Player for Angry Birds Based on Declarative

... the availability of constructs such as aggregate atoms and weak constraints, reasoning strategies can be easily encoded as a set of few rules, while the development of dedicated algorithms is time consuming and error prone. Therefore, conducting experiments with different strategies in order to opti ...
Safety and Beneficence of Artificial General Intelligence (AGI) and
Safety and Beneficence of Artificial General Intelligence (AGI) and

... buffer overflow xlii attacks, which are to this day one of the most common and damaging types of software vulnerability. If the developers of C had been considering computer security (in addition ...
application of an expert system for assessment of the short time
application of an expert system for assessment of the short time

... The main difficulties for AI in the late 1960s were:  Because AI researchers were developing general methods for broad classes of problems, early programs contained little or even no knowledge about a problem domain. To solve problems, programs applied a search strategy by trying out different comb ...
The Judge and the Computer: How Best `Decision Support`?
The Judge and the Computer: How Best `Decision Support`?

... hundreds of programs which have been produced as ‘expert systems’ and which grew from the optimism created by these three programs, MYCIN, DENDRAL and PROSPECTOR. Though early, they were important in defining the mood and direction of much work in the 1980s. But, did these programs make the move fro ...
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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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