• 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
GNU/Linux AI & Alife HOWTO
GNU/Linux AI & Alife HOWTO

... At its roots are programming languages such as Lisp and Prolog though newer systems tend to use more popular procedural languages. Expert systems are the largest successful example of this paradigm. An expert system consists of a detailed knowledge base and a complex rule system to utilize it. Such ...
True/False Questions
True/False Questions

... F 19. A genetic algorithm is a neural network that mimics the evolutionary, survival-of-the-fittest process to generate increasingly better solutions to a problem. Answer: False Level: Medium Page: 151 ...
CV - Computer and Information Science | Brooklyn College
CV - Computer and Information Science | Brooklyn College

... • EC/IST (January 2004 – December 2006) (in collaboration with Professor M. Wooldridge and Dr. P. McBurney) “Argumentation service platform with integrated components”, $274,000. • NSF (September 2003 – September 2008) (in collaboration with Professor E. Sklar), “Tools and techniques for automated m ...
FPGAIntro
FPGAIntro

... Programmable Logic  Disadvantages of the Data Book method  Constrained to parts in the Data Book  Parts are necessarily small and standard  Need to stock many different parts  Programmable logic  Use a single chip (or a small number of chips)  Program it for the circuit you want  No reason ...
Autonomous Units
Autonomous Units

... Collaborative Learning Agents ...
Software Agents - UMBC Agent Web
Software Agents - UMBC Agent Web

... Nwana (1996) splits agent research into two main strands: the first beginning about 1977, and the second around 1990. Strand 1, whose roots are mainly in distributed artificial intelligence (DAI), “has concentrated mainly on deliberativetype agents with symbolic internal models.” Such work has contr ...
Artificial Cognitive Systems
Artificial Cognitive Systems

... Cognitive Systems Monographs (COSMOS), Vol. 11, Springer Chapter 5 and Appendix I (20 cognitive architectures) David Vernon, Artificial Cognitive Systems – A Primer, MIT Press, 2014 ...
Constraints and AI Planning
Constraints and AI Planning

... Interest in constraint techniques for AI planning problems has grown considerably in recent years. Using constraints and related techniques as an underlying framework for problem-solving tasks—such as planning—has proven successful for many domains. The basic modeling units of constraint-based frame ...
pdf file
pdf file

... to these properties}. These maximal subsets can play the role of possible belief sets resulting from the contraction of ϕ from K. Define a belief set operator B−ϕ by B−ϕ (X) = Cn(X) ⊥ ϕ if Cn(X) ⊥ ϕ is not empty, and B−ϕ (X) = Cn(X) otherwise (this only occurs if ϕ is a tautology). The kernel of thi ...
Tilburg University Toward Human-Level Artificial Intelligence
Tilburg University Toward Human-Level Artificial Intelligence

... Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights. - Users may download a ...
PPT
PPT

... • ie: [I should wear a coat]? – note: this would read easier in English as “should I wear a coat”, but we want to use the same propositional symbol as is in our knowledge base ...
An Analysis on Qualitative Bankruptcy Prediction
An Analysis on Qualitative Bankruptcy Prediction

... rules using Genetic Algorithm (GA ) demonstrated the genetic based data min ing approach to discover qualitative prediction rules fro m experts‘ decision process. This study is the first work on GAs for the purpose of discovering experts‘ qualitative knowledge on bankruptcy. The fitness function of ...
Executing clinical guidelines: temporal issues
Executing clinical guidelines: temporal issues

... periodicity of repetitions are basically constraints that must be “inherited” by instances. However, it is a “non-classical” form of inheritance. In fact, while constraints about duration, delays and ordering regard single instances (duration) or pairs of instances (delays, precedence), periodicity ...
Belief Base Change Operations for Answer Set Programming
Belief Base Change Operations for Answer Set Programming

... of the semantic characterization of programs via SE-models and applied an adapted version of distance based revision operators from classic belief revision. This approach was shown to satisfy the majority of the adopted AGM postulates. AGM style change operations for answer set programming (ASP) hav ...
Learning Distance Functions For Gene Expression Data
Learning Distance Functions For Gene Expression Data

... Similarity on different benchmark datasets. These datasets include gene expression data for patients with Breast Cancer, Colon Cancer, Embrional Tumours, Brain Tumours, Leukemia, Lung Cancer, Lupus and Lymphoma. Each dataset contains healthy subjects, too. First, seven established and two novel dist ...
A Concise Introduction To Multiagent Systems And Distributed
A Concise Introduction To Multiagent Systems And Distributed

... brachman series editor thomas dietterich series editor, a concise introduction to multiagent systems and - a concise introduction to multiagent systems and distributed artificial intelligence english 2007 isbn 1598295268 84 pages pdf 1 mbmultiagent systems is an, a concise introduction to multiagen ...
Dialogue Tools and Negotiation Support Systems in a Three-Step
Dialogue Tools and Negotiation Support Systems in a Three-Step

... government entitlements for domains such as social security legislation. 29 Although some systems operating on small, straightforward legal domains proved successful, the AI & Law community realized that developing legal expert systems was far more complicated than it first appreciated. In an attemp ...
Implementing Tools for Artificial Intelligence
Implementing Tools for Artificial Intelligence

... number of resources, but unless one already knows what they are looking for, it is difficult to find desired AI tools. 4. needed manual - How does this tool work? The software may be available, but there is no (or insufficient) documentation on how to run it. This paper is divided into two sections. ...
Automated Reasoning for Mizar: Artificial Intelligence through Knowledge Exchange
Automated Reasoning for Mizar: Artificial Intelligence through Knowledge Exchange

... There are three kinds of benefits in linking proof assistants like Mizar and their libraries with Automated Reasoning technology and particularly ATPs: • The obvious benefits for the proof assistants and their libraries. Automated Reasoning can provide a number of tools and strong methods that can a ...
The DL-Lite Family - Dipartimento di Informatica e Sistemistica
The DL-Lite Family - Dipartimento di Informatica e Sistemistica

... B I ⊆ C I . We extend the notion of model also to inclusion assertions of more general forms with respect to the one allowed in DL-Litecore . An interpretation I is a model of C1 ⊑ C2 , where C1 , C2 are general concepts, if C1I ⊆ C2I . Similarly, I is a model of E1 ⊑ E2 , where E1 , E2 are general ...
AutoTutor - Google Sites
AutoTutor - Google Sites

... One grand challenge for education is to scale up the benefits of expert human tutoring for millions of students individually (Bloom, 1984). Computer-assisted learning has long been considered as a solution to this challenge, where an automated tutor simulates the pedagogies and conversational patter ...
BSc in IS Plan for 2012
BSc in IS Plan for 2012

... ITIS 411 Database System Implementation (3-2-3) Prerequisite: ITIS 314 Course Description Organizations use databases to store and maintain data in an organized way. If an organization needs to store and maintain a large amount of data that must be viewed and updated by many users at the same time, ...
querying description logic knowledge bases
querying description logic knowledge bases

... 5.9 A graphical representation of a relaxation for K. . . . . . . . . . . 136 5.10 A relaxation and the tree relaxation built from it. . . . . . . . . . 139 ...
The Nature of the Social Agent - Digital Collections
The Nature of the Social Agent - Digital Collections

... can simultaneously have so many different "fundamental" natures. The problem of the jumbled views of man is just one way to introduce the need for an adequate theory of the social agent The basic need is both more prosaic and more pervasive. A science of social systems is a science of humans acting ...
A Computational Model of Belief - Rochester CS
A Computational Model of Belief - Rochester CS

... meaning that John is at home, from the previous sentences. The central hypothesis of logical AI is that if we are eventually able to encode enough of human common sense knowledge in logical form, and we develop sufficiently sophisticated inference mechanisms, then this mechanical manipulation of sym ...
< 1 2 3 4 5 6 7 ... 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