• Study Resource
  • Explore
    • Arts & Humanities
    • Business
    • Engineering & Technology
    • Foreign Language
    • History
    • Math
    • Science
    • Social Science

    Top subcategories

    • Advanced Math
    • Algebra
    • Basic Math
    • Calculus
    • Geometry
    • Linear Algebra
    • Pre-Algebra
    • Pre-Calculus
    • Statistics And Probability
    • Trigonometry
    • other →

    Top subcategories

    • Astronomy
    • Astrophysics
    • Biology
    • Chemistry
    • Earth Science
    • Environmental Science
    • Health Science
    • Physics
    • other →

    Top subcategories

    • Anthropology
    • Law
    • Political Science
    • Psychology
    • Sociology
    • other →

    Top subcategories

    • Accounting
    • Economics
    • Finance
    • Management
    • other →

    Top subcategories

    • Aerospace Engineering
    • Bioengineering
    • Chemical Engineering
    • Civil Engineering
    • Computer Science
    • Electrical Engineering
    • Industrial Engineering
    • Mechanical Engineering
    • Web Design
    • other →

    Top subcategories

    • Architecture
    • Communications
    • English
    • Gender Studies
    • Music
    • Performing Arts
    • Philosophy
    • Religious Studies
    • Writing
    • other →

    Top subcategories

    • Ancient History
    • European History
    • US History
    • World History
    • other →

    Top subcategories

    • Croatian
    • Czech
    • Finnish
    • Greek
    • Hindi
    • Japanese
    • Korean
    • Persian
    • Swedish
    • Turkish
    • other →
 
Profile Documents Logout
Upload
Topic_2B_Expert_Systems
Topic_2B_Expert_Systems

...  Most frame-based expert systems allow the use of a set of rules to evaluate information contained in frames.  Similar to a goal-driven rule-based system, the inference engine in a frame-based system also searches for the goal.  But rules in such a system play an auxiliary role.  Frames represen ...
Decision support system - Austin Community College
Decision support system - Austin Community College

... • Decision support system (DSS) – a highly flexible and interactive system that is designed to support decision making when the problem is not structured • Decision support systems help you analyze, but you must know how to solve the problem, and how to use the results of the analysis ...
Surviving the AI Hype – Fundamental concepts to understand
Surviving the AI Hype – Fundamental concepts to understand

...  "AI can have two purposes. One is to use the power of computers to augment human thinking, just as we use motors to augment human or horse power. Robotics and expert systems are major branches of that. The other is to use a computer's artificial intelligence to understand how humans think. In a hu ...
An Environment for Merging and Testing Large Ontologies
An Environment for Merging and Testing Large Ontologies

... becoming larger and more complicated in their representational and reasoning needs. Simultaneously, there appears to be a stronger emphasis on generating very large and standardized ontologies. Areas such as medicine began this task many years ago with SNOMED [Spackman, et. al., 1997] and UMLS [McCr ...
ARTIFICIAL INTELLIGENCE SIMULATION PLATFORM
ARTIFICIAL INTELLIGENCE SIMULATION PLATFORM

... The goal of the project was to create a study development environment with a set of embedded tools that enable the students to solve many interactively and practically focused tuition tasks as well as to conduct their individual research. The outcome of the project is a software platform that helps ...
View/Open
View/Open

... own. However, the tools currently in use have disadvantages and one of the most effective techniques of human review is costly. This paper explores the development of an intelligent agent that uses already in-place computing material for inference as an inexpensive monitoring tool for insider threat ...
MAKING A MIND vs. MODELING THE BRAIN
MAKING A MIND vs. MODELING THE BRAIN

... 2.1. We make to ourselves pictures of facts. 2.15. That the elements of the picture are combined with one another in a definite way, represents that the things are so combined with one another AI can be thought of as the attempt to find the primitive elements and logical relations in the subject (m ...
(IT) in Knowledge Management
(IT) in Knowledge Management

... Hybrid approaches to knowledge management The practice approach is used so that a repository stores only explicit knowledge that is relatively easy to document  Tacit knowledge initially stored in the repository is contact information about experts and their areas of expertise  Increasing the amou ...
Slide 1 - School of Computer Science
Slide 1 - School of Computer Science

... 2006, around 3000 highly heterogeneous and autonomous services are available from within client applications like the Taverna workbench [1], part of the myGrid project. Current techniques for matching service requests with advertisements for biomedical services have proved inadequate. This poster, a ...
Knowledge  Engineering  Issues  in Synthesis
Knowledge Engineering Issues in Synthesis

... design of large (100,000 transistor) systems whose quality as measured by performance and cost is competitive with humanproduced designs. We view the design problem as one of successive refinement of an algorithmic description of a processor guided by user-supplied constraints on cost and performanc ...
REASONING ANd dECISION - Université Paul Sabatier
REASONING ANd dECISION - Université Paul Sabatier

... explosion of the amount of data available in natural language (whether written or oral) either published on the web or produced by companies or users. Managing this abundance opens up new avenues for testing hypotheses on languages, and the development of efficient tools for analysis. It also favour ...
ICT619 Intelligent Systems
ICT619 Intelligent Systems

...  Most frame-based expert systems allow the use of a set of rules to evaluate information contained in frames.  Similar to a goal-driven rule-based system, the inference engine in a frame-based system also searches for the goal.  But rules in such a system play an auxiliary role.  Frames represen ...
Intelligent Machine-Human Communication Interfaces
Intelligent Machine-Human Communication Interfaces

... understanding intelligent behavior. Engineering based goal of AI is to develop concepts, theory and practice of building intelligent machines. The emphasis is on system building. AI Approaches depicts four possible goals to pursue. The approaches followed are defined by choosing goals. 1. Think like ...
Intelligent Robotics and Multi-Agent Systems
Intelligent Robotics and Multi-Agent Systems

... systems that are capable of making decisions and acting autonomously in real and unpredictable environments to accomplish tasks and assist humans in relevant application domains for society. Several complex problems require the use of teams of cooperative robots that share the same challenges studie ...
How Can Expertise be Defined?
How Can Expertise be Defined?

... Both psychological research on expertise and expert system development efforts have tended to define expertise rather loosely. In some cases, one can readily identify “The” experts, as in my own current research on expertise in meteorology involving the participation of researchers and forecasters a ...
Bibliography
Bibliography

... J. Bateman. The Theoretical Status of Ontologies in Natural Language Processing. In the Proceedings of the Workshop on Text Representation and Domain Modelling Ideas from Linguistics and AI. Technical University Berlin, October, 1991. ...
application of multiagent systems in transportation
application of multiagent systems in transportation

... multiagent systems (MAS). That is, systems in which several interacting, intelligent agents pursue some set of goals and perform some set of tasks [2]. The long term goal of DAI is to develop methods that allows agents to interact with each other or with humans as well as humans communicate (or even ...
21/22 January 2008
21/22 January 2008

... is some fixed power of N, where N is the size of the problem. An NP hard problem is one for which no one knows an algorithm which does not take exponential time (2 or some other power of a number > 1). Methods taking exponential operations can work out whether or not such a route exists and report i ...
Expert System to Troubleshoot the Wireless Connection
Expert System to Troubleshoot the Wireless Connection

... utilized to help mankind with problems within a limited scope. An Expert System is an interactive computer based decision tool that uses both facts and heuristics to solve difficult decision making problems, based on knowledge acquired from a human expert, i.e., an expert system is a computer progra ...
Rule Based Expert System for Medical Diagnosis-A Review
Rule Based Expert System for Medical Diagnosis-A Review

... The purpose of the inference engine is to seek information and relationships from the knowledge base and to provide answers, predictions, and suggestions in the way a human expert would. The inference engine must find the right facts, interpretations, and rules and assemble them correctly. Two types ...
Evaluation of General-Purpose Artificial Intelligence
Evaluation of General-Purpose Artificial Intelligence

... have tried to transfer ideas from human testing [27, 7, 13], but this approach has severe limitations for artificial intelligence [2], where no single reference- or abstract system model can be assumed. In this paper we discuss several important topics related to creating a solid foundation for eval ...
Slides - Brown Computer Science
Slides - Brown Computer Science

... For as long as people have made machines, they have wondered whether machines could be made intelligent. ...
Intelligent Library Systems: Artificial Intelligence Technology and
Intelligent Library Systems: Artificial Intelligence Technology and

... how these different types of knowledge relate to one another and how they will function together in the overall context of the intelligent system. Once knowledge is encoded, it must be entered manually by keyboarding. The time investment to determine, represent, and enter knowledge can be significan ...
1 Intelligent Library Systems: Artificial Intelligence Technology and
1 Intelligent Library Systems: Artificial Intelligence Technology and

... how these different types of knowledge relate to one another and how they will function together in the overall context of the intelligent system. Once knowledge is encoded, it must be entered manually by keyboarding. The time investment to determine, represent, and enter knowledge can be significan ...
The Brain Doesn`t Work That Way: From Microgenesis to Cognition
The Brain Doesn`t Work That Way: From Microgenesis to Cognition

...  \ must yield representational truth value  \ must involve normative representation, whether that terminology is used or not – Criticisms of representation are in fact criticisms of encodingist approaches to representation ...
< 1 ... 64 65 66 67 68 69 70 71 72 ... 135 >

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.
  • studyres.com © 2025
  • DMCA
  • Privacy
  • Terms
  • Report