• 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
Rule Based Computation of Updates to Terminologies
Rule Based Computation of Updates to Terminologies

... time, classification services can check for compliance of a suggested specific action (checking whether it has the intended effect). Furthermore, at plan design time, the action a2 can be reasoned with as part of the symbolic plan (e.g., ordered temporally) in the same way as other concrete actions ...
KBS - teachmath1729
KBS - teachmath1729

... * GPS did not use specific info about problem at hand in selection of state transition * GPS examined all states leading to exponential time complexity * breakthrough in AI towards more specialised problem-solving system, i.e., Knowledge-based systems ...
Learning to Recover Meaning from Unannotated
Learning to Recover Meaning from Unannotated

... which represents the flight currently being planned. The information recorded from the series of system utterances following a complex user utterance can be used as indirect supervision for learning. The key challenge is to automatically correlate the incomplete and potentially incorrect information ...
Multi-Agent Systems in Practice When Research Meets - DAI
Multi-Agent Systems in Practice When Research Meets - DAI

... and define interrelationships between entities. Contrary to common programming languages, which can also be used for domain modelling, semantic languages come up with more complex constructs, such as restrictions, axioms and rules. These constructs make the automatic categorisation of information co ...
AAAI Announces Newly Elected Fellows   
AAAI Announces Newly Elected Fellows   

... Founded in 1979, the Association for the Advancement of Artificial Intelligence (www.aaai.org) is a  nonprofit scientific membership society devoted to advancing the science and practice of AI.  Its  mission is to:  (1) advance the scientific understanding of the mechanisms underlying intelligent  t ...
Artificial Intelligence and Other Approaches to Speech Understanding
Artificial Intelligence and Other Approaches to Speech Understanding

... that more knowledge is better. In order to bring more knowledge to bear on specific decisions, integration of knowledge sources is considered essential. For speech, this means, most typically, wanting to use the full inventory of higher-level knowledge, including knowledge of syntax, semantics, doma ...
AAAI Spring Symposium, Stanford, March 27
AAAI Spring Symposium, Stanford, March 27

... automated   vehicle   could   be   disastrous.   Because   constructions   integrate   form   and   meaning,   they   constitute   a   potentially   ground-­‐breaking   approach   to   NLU.   For   communication   with   autonomous   systems   such   ...
Towards Adversarial Reasoning in Statistical Relational Domains
Towards Adversarial Reasoning in Statistical Relational Domains

... spammers in order to understand their behavior, develop better defenses, and evaluate the robustness of these defenses. The spammer’s opponent is the search engine’s anti-spam component, which uses an MLN to label web pages as spam or non-spam, after they have been modified by the spammer. We view t ...
The Knowledge Level
The Knowledge Level

... fueled, not only by technical advances, which occurred rapidly and on a broad front [15], but also by the view that we had a general purpose reasoning engine in hand and that doing logic (and doing it well) was a foundation stone of all intelligent action. Within about five years, however, it became ...
19. Three system types of semantics
19. Three system types of semantics

... There is no problem to provide an adequate metalanguage definition for the rules of basic addition, multiplication, etc. However, the road from such a metalanguage definition to a working calculator is quite long and in the end the calculator will function mechanically – without any reference to the ...
Syllabus-4810
Syllabus-4810

... report on the project (minimum 2,500 words) and a brief oral presentation summarizing the same is expected at the end of the term. An ideal project should be one that demonstrates some creativity, attempts to answer some interesting research question(s), or offers an interesting AI solution to a pro ...
The knowledge level - Research Showcase @ CMU
The knowledge level - Research Showcase @ CMU

... Early work in theorem proving programs for quantified fogies culminated in 1965 with Alan Robinson's development of a machine-oriented formulation of first-order logic called Resolution (Robinson, 1965). There followed an immensely productive period of exploration of resolution-based theorem-proving ...
Cognitive Robotics - Knowledge
Cognitive Robotics - Knowledge

... in a discrete fashion and instantaneously. For robotic applications, this is usually far too limited and we need much richer varieties. Let us begin with actions which are continuous and have a duration. A simple idea to accommodate both is due to Pinto [58], who proposed to split, say, a pickup act ...
Fuzzy Expert Control Systems: Knowledge Base Validation
Fuzzy Expert Control Systems: Knowledge Base Validation

... In this work, the fundamental concepts related to the construction of a reliable KB to be used by an expert control system, in the framework of fuzzy logic systems, are presented. Logic validation of the acquired knowledge is one of these tasks, to detect contradictions, redundancy and other abnorma ...
2014 NEURAL NETWORKS AND FUZZY LOGIC CONTROL
2014 NEURAL NETWORKS AND FUZZY LOGIC CONTROL

... ARCHITECTURES: Introduction –Biological neuron-Artificial neuron-Neuron modeling, Learning rules, Single layer, Multi layer feed forward network-Back propagation, Learning factors. UNIT-II ...
Rich Text Format - (QRG), Northwestern University
Rich Text Format - (QRG), Northwestern University

... but still lack the control knowledge needed for capturing the efficiency and flexibility of human experts. For instance, CyclePad (Forbus & Whalley, 1994) contains enough qualitative and quantitative domain knowledge to carry out numerical steady-state analyses of continuous-flow systems. However, i ...
Dia 0 - TU/e
Dia 0 - TU/e

... • In software, semantic technology encodes meanings separately from data and content files, and separately from application code • In computer science and information science, an ontology formally represents knowledge as a set of concepts within a domain, and the relationships among those concepts. ...
Expert System for Diagnosing Severe Acute Respiratory Syndrome
Expert System for Diagnosing Severe Acute Respiratory Syndrome

... Pneumonia, Viral Pneumonia and Tuberculosis. The objective of developing the system is to assist and enhance its users’ (public user, doctors, medical student, and medical assistants) consciousness and understanding towards diagnosing the respiratory diseases. Diagnosing a potential disease that one ...
Where is Education Heading and How About AI?
Where is Education Heading and How About AI?

... (writing an essay about constructivism) and conceptual understanding (being able to reason about domain concepts and their relations). This development moves away from traditional ITS-research with its emphasis on tutoring relatively often-procedural tasks in relatively closed domains. Most successf ...
ProLog - Department of Computer Engineering
ProLog - Department of Computer Engineering

... • Prolog was originally used for natural language processing. Currently, Prolog is most commonly used in creating "intelligent" databases but is not limited to just that. It is also widely used in natural language processing, in expert systems, in commercial applications, and in some facets educatio ...
penultimate version PDF - METU Department of Philosophy
penultimate version PDF - METU Department of Philosophy

... how to construct a formal system (e.g., machine intelligence) that deals within complex and changing conditions. The main issue behind the frame problem is to find a proper way to state the relationship between a set of rules and actions. It is not possible to find an exact definition for the frame ...
Artificial Intelligence: a Promised Land for Web Services
Artificial Intelligence: a Promised Land for Web Services

... the web as an information-providing and world-altering provider of services [29] is not far away. More futuristic is the notion of serendipitous interoperability which Lassila [27] defines as “the ability of software systems to discover and utilize services they have not seen before, and that were n ...
default inheritance in an object-oriented representation of linguistic
default inheritance in an object-oriented representation of linguistic

... primitive. It refers to the ability to generalize and specialize mental concepts, and to reason by virtue of prototypes while keeping the system open to exceptions. This form of reasoning pervades much of our common sense knowledge but is also a high-level mechanism for the symbolic manipulation of ...
default inheritance in an object-oriented representation of
default inheritance in an object-oriented representation of

... primitive. It refers to the ability to generalize and specialize mental concepts, and to reason by virtue of prototypes while keeping the system open to exceptions. This form of reasoning pervades much of our common sense knowledge but is also a high-level mechanism for the symbolic manipulation of ...
Intelligent Systems: Perspectives and Research Challenges
Intelligent Systems: Perspectives and Research Challenges

... intelligently. Sometimes the brain does not do the action immediately but uses its  imagination. It selects a response rule and determines what situation results from  the action. Then it selects again an action for this new situation and determines  the probable result. Thus it can choose not only  ...
< 1 ... 41 42 43 44 45 46 47 48 49 ... 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