• 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
Knowledge representation and propositional logic
Knowledge representation and propositional logic

... – A way of representing the agents’ (increasing) knowledge about the world. – A way of drawing conclusions from what we already know.  We ...
Slide 1
Slide 1

... What is an Expert System?  Expert systems are based on the thinking and behavior patterns of an expert in a specialized area which s/he performs over and over; For typical DSS problems, there are no experts and the tasks are ad-hoc  A knowledge-based information system that uses its knowledge abou ...
A Knowledge Representation Tool for Autonomous Machine
A Knowledge Representation Tool for Autonomous Machine

... concepts and knowledge systems in multiple ways in order to simulate and visualize the dynamic concept networks during machine learning based on concept algebra. Keyword: Cognitive informatics, cognitive computing, computational intelligence, denotational mathematics, intelligent systems, concept al ...
Intelligent Techniques in Decision Making: A Survey
Intelligent Techniques in Decision Making: A Survey

... system remains in a forefront in handling of uncertainty information19, 20. Many intelligent techniques justify their worthiness in working with decision support system and expert system. However, a problem having subjective or linguistic information cannot be handled by an expert system. In this ca ...
14 - Extras Springer
14 - Extras Springer

... a variety of other applications. Information retrieval from the web. AI search techniques are important in the web-searching software used at sites such as Google News [14.2]. ...
ECAI 2000 14th European Conference on Artificial Intelligence
ECAI 2000 14th European Conference on Artificial Intelligence

... ECAI 2000 is the 14th European Conference on Artificial Intelligence. The current volume of the proceedings contains 145 papers which represent the high-quality status of artificial intelligence research. ECAI has now a wellestablished tradition of being the premier biennial European event for cover ...
John McCarthy – Father of Artificial Intelligence
John McCarthy – Father of Artificial Intelligence

... if they were to be considered intelligent. He also wrote on the need to represent formally using mathematical logic, commonsense knowledge along with an inference method to reason with this knowledge. When this paper was published it was controversial as critics pointed out that McCarthy’s ideas wer ...
PPT
PPT

... about chess is like saying an airplane doesn’t really fly because it doesn’t flap its wings. – Drew McDermott ...
Music, Intelligence and Artificiality
Music, Intelligence and Artificiality

... also include excellent discussions of the principles of using grammars in this kind of work and of some of the issues involved. Another formal systems for representing knowledge applied in Music-AI is KLONE, a well-developed system of knowledge representation, derived from frames and semantic nets, ...
CV - Olivier Georgeon
CV - Olivier Georgeon

... algorithms, and methods to replicate situated cognition (i.e., in which, “knowledge develops as a means of coordinating activity within activity itself”, Clancey 1997). My colleagues and I proposed the Enactive Cognitive Architecture (ECA, Georgeon, Marshall, & Manzotti, 2013). ECA avoids making ...
CS 524 – High Performance Computing
CS 524 – High Performance Computing

... CS/CMPE 531 - Artificial Intelligence(Au 2007-2008) - Asim Karim @ LUMS ...
sai-avatar1.doc
sai-avatar1.doc

... conversation by means of automated avatars. This new approach relies on a model of face-to-face conversation, and derives an architecture for implementing these features through automation. First the thesis describes the process of face-to-face conversation and what nonverbal behaviors contribute to ...
Reflection in Action: Meta-Reasoning for Goal
Reflection in Action: Meta-Reasoning for Goal

... In this talk, I will review my laboratory’s work on metareasoning for goal-directed autonomy. We are exploring how meta-reasoning in intelligent agents enables selfadaptation and how self-adaptation promotes goal-directed autonomy. In particular, we are investigating how an agent’s model of its own ...
Applications of Signatures to Expert Systems Modelling
Applications of Signatures to Expert Systems Modelling

... are rules to execute the rules, forward chaining and backward chaining. The forward chaining is data-driven reasoning expressed as: the reasoning starts with the known data, each time only the topmost rule is executed, when fired the rule adds a new fact in the database, and the cycle stops when no ...
COGNITIVE LEVELS OF EVOLUTION
COGNITIVE LEVELS OF EVOLUTION

... derived from this ultimate value through the mechanisms of vicariousness and hierarchy. At the lower levels of evolution knowledge and values can in fact not be separated. It is only at a higher, "rational" level that the traditional dichotomy between "facts" and "values" becomes meaningful. The mai ...
Introductory lectures, covering chapter 1 of [P]
Introductory lectures, covering chapter 1 of [P]

... 1965- Engineering versus Science: divides computer science, incl. ...
SCIENCE AND RELIGION: Scientific
SCIENCE AND RELIGION: Scientific

... the idea has not been ―stolen‖, and it has taken quite a while to be accepted. Now I understand why: it is counterintuitive, because it describes what is unconscious in our minds. These algorithms were ignored for so long by the artificial intelligence and cognitive science communities for the same ...
History of AI - School of Computer Science
History of AI - School of Computer Science

... Combinatorial Explosion - Towers of Hanoi • The original problem was stated that a group of tibetan monks had to move 64 gold rings which were placed on diamond pegs. • When they finished this task the world would end. • Assume they could move one ring every second (or more realistically every five ...
Learning-Based Planning
Learning-Based Planning

... new challenges because it can be used to alleviate the complexity of the search process by exploiting regularity in the space of common problems. Besides, the state-of-the-art planning algorithms need a detailed domain description to efficiently solve the AP task, but new applications like controlli ...
cs-171-15-FOL-Inference
cs-171-15-FOL-Inference

... Incremental forward chaining: no need to match a rule on iteration k if a premise wasn't added on iteration k-1 ...
ch01s5 - Georgia State University
ch01s5 - Georgia State University

... Case (1) is simple to test from our existing facts, but without (2), infood-chain means nothing different than eat. On the other hand, (2) without (1) sends us down an infinite path of something eating something eating something and so on, with nothing telling us when to stop. Recursive definitions ...
Proofs, Recursion and Analysis of Algorithms
Proofs, Recursion and Analysis of Algorithms

... Case (1) is simple to test from our existing facts, but without (2), infood-chain means nothing different than eat. On the other hand, (2) without (1) sends us down an infinite path of something eating something eating something and so on, with nothing telling us when to stop. Recursive definitions ...
Robotics, Temporal Logic and Stream Reasoning
Robotics, Temporal Logic and Stream Reasoning

... processes. The issue here is generating semantically grounded symbol structure streams from sensed data. This is often called closing the sense-reasoning gap. It turns out that various processes require data at various levels of abstractions and at various latencies. For example, suppose a UAV wants ...
Tech_Trends_Knowledge Based_Crowe_FINAL
Tech_Trends_Knowledge Based_Crowe_FINAL

... Assimilating the vast amount of information academics and others publish is a daunting task for students and faculty, especially in the distance learning environment. Using sources such as online libraries, Google Scholar, and other web-based sources can be challenging. Natural Language Processing ( ...
Introduction to Artificial Intelligence
Introduction to Artificial Intelligence

... fooling a lay person for 5 minutes ♦ Anticipated all major arguments against AI in following 50 years ♦ Suggested major components of AI: knowledge, reasoning, language understanding, learning Problem: Turing test is not reproducible, constructive, or amenable to mathematical analysis c AIMA Slides ...
< 1 ... 38 39 40 41 42 43 44 45 46 ... 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