• 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
Evolutionist of intelligence Introduction
Evolutionist of intelligence Introduction

... It is far from clear for me if this can be easily answered: the notion of the VM in Sloman's use is also a layer of software execution. Though he stresses the causal complexity due to multiple layers of VMs, which is obviously right, there are several problems with some claims about it. The first pr ...
Kripke Semantics for Basic Sequent Systems
Kripke Semantics for Basic Sequent Systems

... {π0 }. In LK-legal frames, R consists of one relation Rπ0 which is the identity relation. π0 imposes a trivial condition, v(a, ψ) = v(b, ψ) whenever a = b. The basic rules of LK impose the usual truth-tables in each world, e.g. v(a, ψ ⊃ ϕ) = t iff either v(a, ψ) = f or v(a, ϕ) = t. Example 6. Assume ...
Expert System
Expert System

...  Develop an expert system from scratch ...
CURRICULUM VITAE Academic Education Academic Employment
CURRICULUM VITAE Academic Education Academic Employment

... 8. Rachel Ben-Eliyahu, Luigi Palopoli, and Victoria Zemlyanker,"The expressive power of tractable disjunction'', Proc. of the European Conference on Artificial Intelligence, Budapest, pages 345-349, 1996. 9. Rachel Ben-Eliyahu and Ehud Gudes, "Towards efficient metaquerying", in IJCAI-99: Proceedin ...
File
File

... 2. What are the types of state-space search? The types of state-space search are, Forward state space search; Backward state space search. 3. What is Partial-Order Planning? A set of actions that make up the steps of the plan. These are taken from the set of actions in the planning problem. The “emp ...
Hierarchical Knowledge for Heuristic Problem Solving — A Case
Hierarchical Knowledge for Heuristic Problem Solving — A Case

... usually find remarkably good solutions. What is more, human solution strategies are stable when the problems are complicated by uncertainty, ignorance of facts or several optimization criteria. The human ability to find satisficing (Simon, 1956) rather than optimal solutions seems to be at the core ...
Chapter 9: Decison Support Systems
Chapter 9: Decison Support Systems

... • Online analytical processing is used to analyze complex relationships among large amounts of data stored in multidimensional databases. Data mining analyzes large stores of historical data contained in data warehouses. • Decision support systems are interactive computer-based information systems t ...
Logic Programming for Knowledge Representation
Logic Programming for Knowledge Representation

... The concept of strong equivalence was introduced in [33]. That paper also presented a complete characterization of strong equivalence in terms of the equivalence in the logic here-and-there [29]. We note in passing that while a necessary condition, having the same answer sets is not sufficient for two ...
Artificial Intelligence Artificial intelligence: an empirical science
Artificial Intelligence Artificial intelligence: an empirical science

... capable of exhibiting intelligence, and thereby, to begin building a theory of intelligent systems. (The original Carnegie-Rand name for the endeavor was “complex information processing”; our group later accepted the alternative “artificial intelligence”, which had become the established usage among ...
04/24 --- AI: Science or Engineering?
04/24 --- AI: Science or Engineering?

... capable of exhibiting intelligence, and thereby, to begin building a theory of intelligent systems. (The original Carnegie-Rand name for the endeavor was “complex information processing”; our group later accepted the alternative “artificial intelligence”, which had become the established usage among ...
CE213 Artificial Intelligence – Revision
CE213 Artificial Intelligence – Revision

... Permit adversarial search in large state spaces alpha-beta pruning (efficiency is essential for a huge search tree): Reduces effort required to search to given depth Monte-Carlo tree search – basic ideas: Evaluation by running simulated games Grandmaster chess programs also use: Complex evaluation f ...
AI III CS QB - E
AI III CS QB - E

... A. For real world problems it is often hard to measure precisely the value of a particular solution. B. For real world problems it is often useful to introduce heuristic based on relatively unstructured knowledge. C.Both A & B D.None of the above Answer: Option C 15. If we can break the problem int ...
Teaching Translation through Corpus
Teaching Translation through Corpus

... language has a very simple syntax, for example, it will compensate by having a more complicated morphology (word structure), or phonology (sound structure). However, even if one had a very neat logical language, it is hard to see that this would solve the MT problem, since one would still have to pe ...
Beyond Keywords: The Revolution in Search
Beyond Keywords: The Revolution in Search

... a natural or intuitive way to ask a question. Conversational and natural language based search interfaces are an active area of research and innovation in search technology. Query Taxonomy There have been many attempts to create a systematic categorization of queries (Hearst 2009). An influential cl ...
CS300-001_Furcy.pdf
CS300-001_Furcy.pdf

... It is well known that, as time goes by, students remember less and less about what they heard about in lectures, unless the material is actively processed (not just heard) in order to build strong brain connections between the new material and existing knowledge. To foster deep learning, I require s ...
The Symbol Grounding Problem has been solved. So
The Symbol Grounding Problem has been solved. So

... and others could possibly agree with this or understand that this representational relation holds. There is nothing in the nature of an object that makes it a representation or not, it is rather the role the object plays in subsequent interaction. Of course it helps a lot if the representation has ...


... In case-based reasoning systems, adaptation of retrieved cases plays a crucial role in flexible reuse of stored experiences. However, despite the importance of case adaptation, the case adaptation process remains the least understood part of case-based reasoning. The difficulty of endowingcase-based ...
Hubert Dreyfus - Human versus Machine
Hubert Dreyfus - Human versus Machine

... influential AI-researchers have taken Dreyfus's critiques to heart, and developed and applied many of his phenomenological ideas to their own research. Via this route, the frequently abstract philosophical notions to which Dreyfus appeals have had a direct impact on the development of AI. This prese ...
Monday March 29, 2004
Monday March 29, 2004

... Monday/Thursday 4-5:20 pm (Jonson-Rowland Science Center 2C30) Book: Margaret H. Dunham, Data Mining: Introductory and Advanced Topics, Prentice Hall ...
Constraint Modelling: A Challenge for First Order Automated Reasoning (invited talk)
Constraint Modelling: A Challenge for First Order Automated Reasoning (invited talk)

... combined without ensuring that their background assumptions mesh. Often, inconsistency does not afflict the pure model, but arises only after part of the data has been added, so detecting it can require a certain amount of grounded reasoning as well as first order unification-driven inference. A tra ...
document
document

... McCarthy and Minsky) defined the field. Attended by all the big names in AI. AI researchers at this time came up with the physical symbol system hypothesis; humans think by manipulating symbols, so, instead of trying to have computers emulate the hardware (neurons), AI research should concentrate on ...
Presentation CIDOC-CRM
Presentation CIDOC-CRM

... problems (at schema level) • In its production builds general concepts which can be used for high level information recall • Extensible so that new knowledge can be integrated without requiring rethinking the ontology’s basic divisions • Creates compatibility • Allows for automatic reasoning ...
5. Architecture of a Rule Based System for Medical Billing
5. Architecture of a Rule Based System for Medical Billing

... been made to reconcile production systems and logic programs without reducing one to the other, building on the strengths of each [4]. ‘What is knowledge representation’ is best answered by R. Davis in terms of five distinct roles it plays [5]. First, a knowledge representation is most fundamentally ...
Expert system methodologies and applications—a decade review
Expert system methodologies and applications—a decade review

... together with their applications for different research and problem domains. Discussion is presented, indicating the followings future development directions for ES methodologies and applications: (1) ES methodologies are tending to develop towards expertise orientation and ES applications developme ...
Interactive Linguistics and Distributed Grammar
Interactive Linguistics and Distributed Grammar

... with KDD algorithms (Rough Set, FCA, etc.) 2. This task is automatic. 1. This task needs active involvement on behalf of the researcher. From Data Mining to Knowledge Discovery in Databases by Usama Fayyad, Gregory PiatetskyShapiro, and Padhraic Smyth, AI Magazine 1997 (American Association for Arti ...
< 1 ... 46 47 48 49 50 51 52 53 54 ... 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