• 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
CSE 471/598 Introduction to AI
CSE 471/598 Introduction to AI

... Machine translation – Syntax is not enough Intractability of the problems attempted by AI “What computers cannot do” in 76 ...
Why Dreyfus’ Frame Problem Argument Cannot Justify Anti-  Representational AI
Why Dreyfus’ Frame Problem Argument Cannot Justify Anti- Representational AI

... not infer anything unless it has a rule telling it to do so; thus, the system will need explicit rules, frame axioms, which dictate both what will change and what will stay the same for a given action. But not only is creating a comprehensive set of frame axioms impossible in a world-scale system – ...
Semantics for Possibilistic Disjunctive Programs
Semantics for Possibilistic Disjunctive Programs

... etc., for capturing the incomplete state of a belief in a logic program when the numerical representations are not available or difficult to get. For instance, these kind of labels have been explored in argumentation theory for modeling incomplete information of an argument [7, 17]. During the last ...
Agent
Agent

...  Can we “remember” solutions, rather than recalculating them?  Can we learn additional facts from present data?  Can we model the physical aspects of the brain?  Classification and clustering ...
THE APPLICATION OF EXPERT SYSTEM: A REVIEW OF
THE APPLICATION OF EXPERT SYSTEM: A REVIEW OF

... technologies. Today, there a lot of intelligent machine is available in everywhere such as airport gate scanner, movie theater counter ticket, vending machine, ATM machine, washing machine, etc. Expert system has been used widely in many areas and industries. This paper is described the current rese ...
USI1
USI1

... • Man is trying to imitate nature with artificial AS • Why? • Because man-made machines with predefined behavior cannot cover all aspects • Note: Adaptation < Learning < Intelligence ...
Practical Reasoning: An Opinionated Survey.
Practical Reasoning: An Opinionated Survey.

... of these reasons for the success of dynamic logic, seeking to preserve and develop them as we investigate more complex forms of practical reasoning. Planning and the formalization of means-end reasoning. Perhaps the most important contribution of AI to practical reasoning is the formalization of mea ...
Logical Reasoning as Argumentation,
Logical Reasoning as Argumentation,

... Lecture 1: Argumentation and Artificial Intelligence An overview is given of how ideas from argumentation theory have been picked up in artificial intelligence. The focus will be more on general ideas and approaches, and less on formal detail. Lecture 2: Argumentation in the law: case-based and rule ...
Robotics Presentation
Robotics Presentation

... EBL just restates what the learner already knows You don’t really gain new knowledge! Why do we need it then? In principle, we can compute everything we need using just the domain theory In practice, however, this might not work. Consider chess: Does knowing all the rules make you a perfect player? ...
Bits 2513 internet technology
Bits 2513 internet technology

... • Cascading Style Sheets (CSS), developed by the World Wide Web Consortium (W3C), is a feature of HTML that makes it possible to apply consistent formatting to the HTML documents in a Web site. ...
Data Mining and Decision Support
Data Mining and Decision Support

... Generally speaking, Decision Support Systems (DSS) are a broader notion than expert systems. There is a large intersection between the two, but some expert systems are not DSS.2 Expert systems that reproduce the reasoning process of a human decision maker can be categorized as process-oriented DSS. ...
Perspectives on Fifth Generation Computing
Perspectives on Fifth Generation Computing

... “knowledge processing systems” using “latest research results in VLSI technology, as well as technology of distributed processing, software engineering, knowledge engineering, artificial intelligence, and pattern information processing” and contributing “to the benefit of all humankind.” (ICOT 1983 ...
The Common Core of Action Languages B and C
The Common Core of Action Languages B and C

... the phone. Such relationships can be called static, because they operate within a single time instant. Action descriptions in older languages were limited to dynamic relationships between an action and the values of fluents after its execution. The languages B and C differ from each other in the sen ...
toward memory-based reasoning - Computer Science, Columbia
toward memory-based reasoning - Computer Science, Columbia

... Memory-Based Reasoning in More Detail Although the basic idea of memory-based reasoning is simple, its implementation is somewhat more complex: We must separate important features from unimportant ones; moreover, what is important is usually context-sensitive. One cannot assign a single weight to ea ...
CYBERNETICS: A Definition
CYBERNETICS: A Definition

... not depend on the indefinite retention of a structural invariant that represents an entity (an idea, image or symbol), but on the functional ability of the system to create, when certain recurrent demands are given, a behavior that satisfies the recurrent demands or that the observer would class as ...
stairs 2012 - Shiwali Mohan
stairs 2012 - Shiwali Mohan

... the agent fails to finish the game quickly. Players have to often choose between competing goals and make decisions that can give favorable long term rewards. In this work, we concentrate on designing a reinforcement learning agent for a variant of a popular action game, Super Mario Bros, called Inf ...
Logicist AI in Mcarthy and Hayes (1969)
Logicist AI in Mcarthy and Hayes (1969)

... starting from s, in which p is true. For example if s is the current situation, next(Raining, s) returns the next state of the world in which it is raining. Then, Wet(Fred, next(Raining, s)) would be true if Fred were caught outside without an umbrella the next time it rained. Fluents can also be us ...
Machines that dream: A brief introduction into developing artificial
Machines that dream: A brief introduction into developing artificial

... and  good  regulator  theorem  (Conant  and  Ashby,  1970).  But  this  was  not  enough.   Practopoiesis  only  provided  the  basic  structure  of  adaptive  systems.  It  was  necessary   also  to  specify  how  many  levels  of  or ...
Cognitive Systems: Argument and Cognition
Cognitive Systems: Argument and Cognition

... reasoning is linked to argumentation, since proof systems like Natural Deduction are known to have a natural argumentative interpretation [7]. Other proposals (see, e.g., [8]) completely abandon any logical form for human reasoning, treating it as the application of specialized procedures, invoked n ...
Artificial Intelligence - Computer Science Department
Artificial Intelligence - Computer Science Department

... The paradigm is the agent An agent perceives and act, accordingly to the environment it is situated The capacities that are needed are the same than those to pass the Turing’s test: Natural language processing, knowledge representation, reasoning, learning, perception It is a more general approach, ...
Inductive Programming www.AssignmentPoint.com Inductive
Inductive Programming www.AssignmentPoint.com Inductive

... but on machine learning of symbolic hypotheses from logical representations. However, there were some encouraging results on learning recursive Prolog programs such as quicksort from examples together with suitable background knowledge, for example with GOLEM. But again, after initial success, the c ...
Document
Document

... position, it displays elements of strategic understanding. Somewhere out there mere tactics translate into strategy. This is the closet thing I've ever seen to computer intelligence. It's a very weird form of intelligence, but you can feel it. It feels like thinking. – Frederick Friedel (grandmaster ...
Agent Computing and Situation Aware
Agent Computing and Situation Aware

... Thus the robot’s senses are not always real. The important problem is to be able to define worlds minimally to have computable representations with mathematical logic thus the ability to make definitive statements. Heidegger's Die Frage nach dem Ding will prove to be a blessing in disguise. Could it ...
Intelligible AI Planning - Artificial Intelligence Applications Institute
Intelligible AI Planning - Artificial Intelligence Applications Institute

... work together using a “mixed initiative” style. Black box or fully automated solutions are not acceptable in many situations, where human responsibility is paramount. Highly dynamic environments demand adaptable solutions. Studies of expert human problem solvers in stressful or critical situations s ...
Natural Proof Search and Proof Writing
Natural Proof Search and Proof Writing

... been the resolution-based prover Vampire [Riazanov & Voronkov 2002] since several years. It is however useful to continue to develop other systems for several reasons: • If a prover has to communicate with humans, for example as a proof assistant in a mathematical research context or as a part of a ...
< 1 ... 27 28 29 30 31 32 33 34 35 ... 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