• 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
ANN Models Optimized using Swarm Intelligence Algorithms
ANN Models Optimized using Swarm Intelligence Algorithms

... There are certain common traits in all swarm intelligence algorithms. The swarm is composed of many individual organisms. The organisms are homogeneous and communication between the organisms is based on set rules. The organisms have limited intelligence as individuals but they can carry out simple ...
Implementation of parallel Optimized ABC Algorithm
Implementation of parallel Optimized ABC Algorithm

... Step.4. For each solution in the local memory Mr of the range processor Pr, determine a neighbor. Step.5. Calculate the optimization for the solutions in Mr. Step.6. Place the onlookers on the food sources in Mr and improve the corresponding solutions (as in step 4). Step.7. Determine the abandoned ...
The promise of artificial intelligence
The promise of artificial intelligence

... AI offers empowerment and value creation Research finds collaboration among humans and machines will increase ...
Why would I talk to you?
Why would I talk to you?

... The term anthropomorphism is used differently in disciplines such as psychology, the natural sciences, and HCI. Duffy describes it as a phenomenon of ‘ascribing human-like qualities to non-human entities[5 p.180]’. He sees anthropomorphism as a metaphor and a useful mechanism to facilitate social in ...
Basic Artificial Intelligence Research at the Georgia Institute of
Basic Artificial Intelligence Research at the Georgia Institute of

... invited for dinner). Kolodner and Hinrichs’s emphasis in JULIA is on two problems: a functional architecture that allows a case-based reasoner to function in a complex, real-world domain and a concrete theory of adaptation. The architecture she is working on incorporates components for the breaking ...
artificial intelligence planning for generative computer aided process
artificial intelligence planning for generative computer aided process

... In expert systems and production rules systems, manufacturing knowledge is represented in the form of logic rules that are later used for building process plans for parts to be manufactured [1]. This kind of systems have the drawback that much knowledge must be represented because manufacturing proc ...
Artificial Intelligence: A Natural Pursuit
Artificial Intelligence: A Natural Pursuit

... “M. Thomas, of Colmar, has lately made the finishing improvements in the calculating machine, called the arithmometer, at which he has been working for upwards of thirty years. Pascal and Leibnitz, in the seventeenth century, and Diderot at a later period, endeavoured to construct a machine which mi ...
Idealizations of Uncertainty, and Lessons from Artificial Intelligence
Idealizations of Uncertainty, and Lessons from Artificial Intelligence

... infection, and more importantly not included in MYCIN’s program by its designers, MYCIN could fail dramatically, and deliver the incorrect diagnosis or no diagnosis at all. One might assume that to overcome brittleness, one only needed to add more rules to the knowledge base, by further knowledge ex ...
CSE 471/598 Introduction to AI
CSE 471/598 Introduction to AI

... Mathematics (c. 800 - Present) - logic, probability, decision making, computation ...
A physics approach to classical and quantum machine learning
A physics approach to classical and quantum machine learning

... classical and quantum machine learning ...
Levinson_Deep_Blue_Is_still_an_infant
Levinson_Deep_Blue_Is_still_an_infant

... on it and the training strategies adopted. Again these decisions are possible given the proper implementation of meta-reasoning. Self-Rep Keating Ideally, one would like AI agents and software of any kind to have the ability to create copies of themselves with improvements occurring in future genera ...
pdf
pdf

... Microsoft Research, Redmond, WA, U.S.A. Supervisor: Dr. John Manferdelli, Anti-Piracy Group Worked on Digital Rights Management; designed methods that use control- and data-flow analysis on binary program code to embed hard-to-break license authentication protocols in arbitrary programs. Intern, Vis ...
Michael Arbib and Laurent Itti: CS564
Michael Arbib and Laurent Itti: CS564

... The critic does not directly tell the learning system how to change its actions. Reinforcement learning algorithms are selectional processes. There must be variety in the action-generation process so that the consequences of alternative actions can be compared to select the best. ...
Fortnightly Thoughts
Fortnightly Thoughts

... A broad way to define artificial intelligence or AI is that it is any intelligence exhibited by machines or software. By this we mean machines which can think, which are able to not just process data into information, but also derive knowledge from that information to augment human decision making o ...
now
now

... Modified from Decision Support Systems and Business Intelligence Systems 9E. ...
decision support
decision support

... Modified from Decision Support Systems and Business Intelligence Systems 9E. ...
TER Artificial Intelligence 2014-2015
TER Artificial Intelligence 2014-2015

... 5. A person who is in the possession of a Bachelor degree in ‘Artificial Intelligence’ or ‘Computer Science’ from a foreign University within the EU. The evaluation and procedures of the diplomas are according to the Nuffic criteria. Elective components are prescribed in case of deficiencies. 6. A p ...
Performance Study of Recent Swarm Optimization Techniques
Performance Study of Recent Swarm Optimization Techniques

... increasing role in the research of management science and operational research areas. Knowledgebased or Artificial Intelligence techniques are used increasingly as alternatives to more classical techniques to model environmental systems. Artificial Intelligence (AI) could be defined as the ability o ...
CSE 471/598 Introduction to AI
CSE 471/598 Introduction to AI

... Mathematics (c. 800 - Present) - logic, probability, decision making, computation ...
The CHREST Architecture of Cognition The Role of
The CHREST Architecture of Cognition The Role of

... naturalistic data as input for learning. We argue that some of these characteristics can help shed light on the hard questions facing theorists developing artificial general intelligence, such as intuition, the acquisition and use of concepts, and the role of embodiment. ...
Learning-Based Planning
Learning-Based Planning

... Automated Planning (AP) studies the generation of action sequences for problem solving. A problem in AP is defined by a state-transition function describing the dynamics of the world, the initial state of the world and the goals to be achieved. According to this definition, AP problems seem to be ea ...
Using the Relaxed Plan Heuristic to Select Goals in
Using the Relaxed Plan Heuristic to Select Goals in

... plan that maximizes the utility while keeping the cost (resource) under a certain bound. We will call it the cost-bounded OSP problem to distinguish it from the more general OSP case, where there can be other causes preventing all the goals from being achieved (mutually exclusive goals for example). ...
PROBLEM-SOLVING METHODS ARTIFICIAL
PROBLEM-SOLVING METHODS ARTIFICIAL

... suggested by Shen Lin (1965,1968). Although these ideas don't appear to fit neatly into any of our three categories of problem-solving methods, they deserve the attention of any serious student in the field. ...
Document
Document

... • “Low-level:” performs specific tasks. • “High-level:” aka “artificial intelligence.” • “Media access:” search and retrieval from databases. ...
One Decade of Universal Artificial Intelligence
One Decade of Universal Artificial Intelligence

... ANU ...
< 1 ... 28 29 30 31 32 33 34 35 36 ... 176 >

Existential risk from artificial general intelligence

  • studyres.com © 2025
  • DMCA
  • Privacy
  • Terms
  • Report