• 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
Inconsistent Heuristics in Theory and Practice
Inconsistent Heuristics in Theory and Practice

... Russell and Norvig write that “one has to work quite hard to concoct heuristics that are admissible but not consistent” [38]. Many researchers work under the assumption that “almost all admissible heuristics are consistent” [25]. Some algorithms require that the heuristic be consistent (such as Fron ...
Planning graph as the basis for deriving heuristics for plan synthesis
Planning graph as the basis for deriving heuristics for plan synthesis

... AltAlt’s performance on the benchmark problems used in the recent AIPS-2000 Planning Competition [1]. Our results indicate that AltAlt’s performance on these problems puts it squarely in the top tier of two or three best planners in the competition. (3) To further clarify the connections between heu ...
Artificial Intelligence
Artificial Intelligence

... I chose these tools because they can easily demonstrate the theory being presented. However, the book is not tied to any specific tool; the examples given in the book are easy to implement with different tools. This book is also suitable as a self-study guide for non-computer science professionals. ...
AAAI News - Association for the Advancement of Artificial Intelligence
AAAI News - Association for the Advancement of Artificial Intelligence

... to open up access to the technical content of its digital library in 2009. AAAI conference proceedings and technical reports will be available to the international research community, and will be widely indexed on major search and indexing engines. Access to the contents of the AI Magazine will rema ...
Video Game Pathfinding and Improvements to Discrete Search on Grid-based Maps
Video Game Pathfinding and Improvements to Discrete Search on Grid-based Maps

... successfully navigate the game environment. Pathfinding is an essential component of any agent navigation system. Pathfinding is, at the simplest level, a search technique for finding a route between two points in an environment. The real-time multi-agent nature of video games places extremely tight ...
PDF of this page
PDF of this page

... High performance computer architectures and algorithms including pipeline, vector, array, multiprocessor computer designs, applications, and programming. Also covered are data flow and systolic machines, interconnection networks, and graph and parallel graph algorithms. Three hours lecture and two h ...
Wrappers for feature subset selection
Wrappers for feature subset selection

... highest evaluation is chosen as the final set on which to run the induction algorithm. The resulting classifier is then evaluated on an independent test set that was not used during the search. Since the typical goal of supervised learning algorithms is to maximize classification accuracy on an unse ...
Recognition Tasks
Recognition Tasks

... LeongHW, SoC, NUS ...
A Classification and Survey of Preference Handling Approaches in
A Classification and Survey of Preference Handling Approaches in

... the “underlying system” is that it is easier to compare approaches that use the same base system. As well, a specific approach to preference may be “ported” from one underlying system to another, as for example is done in the methods of Delgrande and Schaub [2000a; 2003] and Brewka and Eiter [1999; ...
Document
Document

... LeongHW, SoC, NUS ...
Computer Science (MS)
Computer Science (MS)

... testing methods. Use of CASE tools. Will include a major design project. Prerequisite: CSCI 6305 or consent of instructor. CSCI 6345: Advanced Computer Networks ...
Soar : an architecture for general intelligence
Soar : an architecture for general intelligence

... system, R l , which configures Vax and PDP-11 computers at Digital Equipment Corporation [3, 41]. R l is a large system and Rl-Soar was only carried far enough in its detailed coverage (about 25% of the functionality of Rl) to make clear that it could be extended to full coverage if the effort warra ...
Speeding Up Problem-Solving by Abstraction: A Graph
Speeding Up Problem-Solving by Abstraction: A Graph

... robustness and performance. Although developed by analyzing existing refinement techniques from the graph-oriented perspective, all the refinement techniques can be applied equally well to explicitly or implicitly represented graphs. The combination of STAR abstraction and AltO refinement often prod ...
artificial intelligence (luger, 6th, 2008)
artificial intelligence (luger, 6th, 2008)

... The second commitment we made in earlier editions was to the central position of advanced representational formalisms and search techniques in AI methodology. This is, perhaps, the most controversial aspect of our previous editions and of much early work in AI, with many researchers in emergent comp ...
Ch 16. Artificial Intelligence
Ch 16. Artificial Intelligence

... Copyright © SNU OOPSLA Lab. ...
Reasoned Use of Expertise in Argumentation
Reasoned Use of Expertise in Argumentation

... authority to influence opinion in argumentation is commonplace, and worth guarding against. But does this suggest that all appeals to expert authority in argument are fallacious? It should not. For taking into account the intelligent and informed opinion of a legitimate expert on a question that one ...
CS2053
CS2053

... Introduction, Knowledge Representation – Reasoning, Issues and Acquisition: Prepositional and Predicate Calculus Rule Based knowledge Representation Symbolic Reasoning Under Uncertainity Basic knowledge Representation Issues Knowledge acquisition – Heuristic Search: Techniques for Heuristic search H ...
On John McCarthy`s 80th Birthday, in Honor of his Contributions
On John McCarthy`s 80th Birthday, in Honor of his Contributions

... first given in Great Britain. Philosopher and linguist Yehoshua Bar-Hillel (Bar-Hillel, McCarthy, & Selfridge 1998) was concerned that McCarthy’s proposed project was infeasible. Bar-Hillel argued, among other things, that the example of formal commonsense reasoning given in the paper was oversimpli ...
Monte-Carlo Tree Search Enhancements for One
Monte-Carlo Tree Search Enhancements for One

... started reading the literature on Chess programming, and wrote a program to play Connect-4. Later, this program would evolve into the focus of my Bachelor’s thesis on αβ and its enhancements. During my time in Darmstadt I also first came into contact with the game of Go. At first, I was interested i ...
Survey on Fuzzy Expert System
Survey on Fuzzy Expert System

... provide an expert view on a particular domain area. There is a user friendly I/O interface which link with explanation modules to take the input from user. For analyzing the data, there is interface engine, whose power is lies on knowledge base and also has the capability to learn. After, analysis p ...
Logic Program Based Updates
Logic Program Based Updates

... Access(A, F2 ) ←, ¬Access(x, F1 ) ← M ember(x, G), Access(x, F2 ) ← M ember(x, G),not ¬Access(x, F2 ), which has a unique answer set S. 1.2 Contributions of This Paper From the discussions in section 1.1, we can see that traditional minimal change criterion is no longer a single issue in logic progr ...
Computing Preferred Answer Sets by Meta
Computing Preferred Answer Sets by Meta

... higher priority than (j) iff i < j (i.e., rule (1) has the highest priority and rule (4) the lowest). Then, A2 is no longer intuitive, as f lies is concluded from (4), which has lower priority than (3) where we conclude ¬f lies. Interestingly, even if this example is very simple, various preference ...
osborne
osborne

... due to a mixture of poor experimental technique, poor experimenter/subject communication and an inability to appreciate the full implications of other psychologists work. These problems have cast doubt on a number of his ideas. It is important to examine these criticisms to ensure that the more rele ...
What is a heuristic? - University of Alberta
What is a heuristic? - University of Alberta

... other definitions we have discussed. It contains the elements of lack of guarantee, of arbitrary device, of effort reduction, of eliminating options, and of satisfactory solution. Following their definition Feigenbaum and Feldman also bring up a new element, that of domain dependence. Some heuristic ...


... other definitions we have discussed. It contains the elements of lack of guarantee, of arbitrary device, of effort reduction, of eliminating options, and of satisfactory solution. Following their definition Feigenbaum and Feldman also bring up a new element, that of domain dependence. Some heuristic ...
1 2 3 4 5 ... 76 >

Computer Go

Computer Go is the field of artificial intelligence (AI) dedicated to creating a computer program that plays Go, a traditional board game.
  • studyres.com © 2025
  • DMCA
  • Privacy
  • Terms
  • Report