• 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
Nils Nilsson PRINCIPLES OF ARTIFICIAL
Nils Nilsson PRINCIPLES OF ARTIFICIAL

... familiar in AI: the early chapters focus on search, the middle chapters on the predicate calculus, later chapters deal with planning and with object-centered representations (eg, semantic networks). All chapters are of a piece. They reflect a decision by Nilsson to attempt to lay out the central pri ...
Modified from
Modified from

... Knowledge rules (declarative rules), state all the facts and relationships about a problem Inference rules (procedural rules), advise on how to solve a problem, given that certain facts are known Inference rules contain rules about rules (metarules) Knowledge rules are stored in the knowledge base I ...
cmps3560_artificial_intelligence
cmps3560_artificial_intelligence

... This course covers student learning outcomes falling under the following ACM/IEEE Body of Knowledge topics: IS/Fundamental Issues IS/Basic Search Strategies IS/Basic Knowledge Representation and Reasoning IS/Basic Machine Learning ABET Outcome Coverage This course maps to the following performance i ...
Distributed Artificial Intelligence - Dei-Isep
Distributed Artificial Intelligence - Dei-Isep

... is  important  to  separate  the  problem  into  smaller  ones  and  distribute  those  smaller   problems  through  the  agents.  This  way,  a  single  agent  is  focused  in  a  smaller  area,   acting  as  an  ³expert´  in  solving  its  tasks.   Intelligent   agents   with  great   capability   ...
Expert Systems in Medicine: Academic Illusion or Real Power?
Expert Systems in Medicine: Academic Illusion or Real Power?

... primarily concerned with the construction of AI programs that perform diagnosis and make therapy recommendations. Unlike medical applications based on other programming methods, such as purely statistical and probabilistic methods, medical AI programs are based on symbolic models of disease entities ...
Knowledge representation 1
Knowledge representation 1

... anything useful unless they contain a large amount of real-world - probably domain-specific - knowledge.  Humans almost always tackle difficult real-world problems by using their resources of knowledge - "experience", "training" etc. ...
CIS 4510 – Expert Systems and Decision Support
CIS 4510 – Expert Systems and Decision Support

... Expert systems construction and application. Use of computers in managerial decision making. Examination of problem solving and decision models in relation to the business environment. Practical application emphasizing evaluation of available systems and hands-on experience. Prerequisite: COP 3540 - ...
Strong Cyclic Planning with Incomplete Information and Sensing
Strong Cyclic Planning with Incomplete Information and Sensing

... φb is a propositional formula, denoting the agent’s knowledge about the world. The language presented here allows for defining a restricted domain, with respect to the general one presented before, in the sense that not every belief states b ∈ B can be represented through epistemic formulas. In addi ...
Glossary
Glossary

... sufficiently similar for some purpose e.g. the determination of an appropriate reimbursement for approximately similar clinical procedures or diseases. See also: Term, Code. Groupware: A computer application that assists communication and shared working amongst groups of individuals with access to a ...
Machine Learning and the AI thread
Machine Learning and the AI thread

... The criterion: Whether the machine could answer questions in such a way that it will be extremely difficult to guess whether the answers are given by a man, or by the machine Critical issue The extent we regard something as behaving in an intelligent manner is determined as much by our own state of ...
Proposal for a track at the 2002 ACM Symposium on Applied
Proposal for a track at the 2002 ACM Symposium on Applied

... derived. The genome sequence has ushered in a new era of rapid and exponential growth of data related to how organisms function at a molecular level. DOE's Genomes to Life program for example, will make important contributions in the quest to venture beyond characterizing such individual life compon ...
Worldwide AI: A Brief Overview of Artificial Intelligence in
Worldwide AI: A Brief Overview of Artificial Intelligence in

... citizens. The lack of quality education on the primary and secondary levels also serves as a barrier to obtaining tertiary-level education. According to a 2008 OECD review of national policies for education in South Africa, typically only 15 percent to 18 percent of secondary school students who sit ...
from the lecture on IJCAI 99 in powerpoint format
from the lecture on IJCAI 99 in powerpoint format

...  at least one dialogue with yourself  to allow you to show off your system at its best  at least one dialogue with another automated system  e.g. Eliza on the web, a colleague’s system ...
11. Building Information Systems
11. Building Information Systems

... KNOWLEDGE MANAGEMENT IN THE ORGANIZATION ...
download
download

... KNOWLEDGE MANAGEMENT IN THE ORGANIZATION ...
Procedural Knowledge Representations
Procedural Knowledge Representations

... The available functions are not always one to one but rather are many to many which is a characteristic of English representations. The sentences All dogs have tails and every dog has a tail both say that each dog has a tail but the first could say that each dog has more than one tail try substituti ...
Artificial Intelligence and Expert Systems
Artificial Intelligence and Expert Systems

... systems help human experts in such fields as medicine and engineering, but they are very expensive to produce and are helpful only in special situations. Today, the hottest area of artificial intelligence is neural networks, which are proving successful in a number of disciplines such as voice recog ...
1010-Chapter11 - ODU Computer Science
1010-Chapter11 - ODU Computer Science

... systems help human experts in such fields as medicine and engineering, but they are very expensive to produce and are helpful only in special situations. Today, the hottest area of artificial intelligence is neural networks, which are proving successful in a number of disciplines such as voice recog ...
Expert Systems - Myreaders.info
Expert Systems - Myreaders.info

... most difficult part of building an expert system. The knowledge acquired from the human expert must be encoded in such a way that it remains a faithful representation of what the expert knows, and it can be manipulated by a computer. Three common methods of knowledge representation evolved over the ...
Information Technology Software
Information Technology Software

... Etc. ...
CUSTOMER_CODE SMUDE DIVISION_CODE SMUDE
CUSTOMER_CODE SMUDE DIVISION_CODE SMUDE

... Cybernetics. Cybernetics is the study of communication in human and machine and it brought together many parallels between human and machine Although the computer provided the technology necessary for AI, it was not until the early 1950’s that the link between human intelligence and machines was rea ...
01-intro
01-intro

... Play a winning game of Chess? Go? Jeopardy? Drive safely along a curving mountain road? University Way? Buy a week's worth of groceries on the Web? At QFC? Make a car? Make a cake? Discover and prove a new mathematical theorem? Perform a complex surgical operation? Unload a dishwasher and put everyt ...
19-21 - University of Pittsburgh
19-21 - University of Pittsburgh

... Previously, we developed an expert model of case-based reasoning, which is the basis for an intelligent tutoring system to teach law students argumentation with previous cases available as texts. The texts are legal opinions in which judges record their decisions and rationales for litigated disput ...
Logical Agents
Logical Agents

... Knowledge-Based Logical Agents • Two central AI concepts – Representation of knowledge – Reasoning processes acting on knowledge ...
PDF - City University of Hong Kong
PDF - City University of Hong Kong

... variations of NLP such as syntactic structure representation or lexicon classification theoretically. The goal of these researches is obviously for developing a hybrid architecture which can process natural language as what human does. Thus, we propose an online intelligent system to extract the sem ...
< 1 ... 77 78 79 80 81 82 83 84 85 ... 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