• 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
Curriculum Vitae
Curriculum Vitae

... Professor, Department of Computer Science, South Asian University (SAU), New Delhi; and Dean, Faculty of Mathematics and Computer Science (SAU). Also: Ramanujan Fellow, Govt. of India; Visiting Professor, Computing Laboratory, Oxford University; and Visiting Professorial Fellow School of Computer Sc ...
Expert Systems - Myreaders.info
Expert Systems - Myreaders.info

... solving the problems; here the system is intended to solve; ‡ Knowledge engineer : The individual who encodes the expert's ...
APPLICABILITY OF OPERATIONS RESEARCH AND ARTIFICIAL
APPLICABILITY OF OPERATIONS RESEARCH AND ARTIFICIAL

... available OR techniques, as well as, details on coding ones own technique, please consult (Winston 1994). An Artificial Intelligent (AI) Perspective: For many practical problems encountered, the only way to be sure of finding an optimal solution is to search completely through the whole set of possi ...
Business - Take-A
Business - Take-A

... • Manager, Artificial Intelligence Engineering team • Product Manager for PC-based process modeling and simulation tool • Consulted on projects w/White House and Pentagon ...
An Abstract View on Modularity in Knowledge Representation
An Abstract View on Modularity in Knowledge Representation

... introduce model-based modular systems, an abstract framework for modular knowledge representation formalisms, similar in scope to multi-context systems but employing a simpler information-flow mechanism. We establish the precise relationship between the two frameworks, showing that they can simulate ...
Real Time Fault Detection and Isolation: A Comparative Study
Real Time Fault Detection and Isolation: A Comparative Study

... specified. By applying physical rules to describe system, differential equations relating to system process model and estimate system response according to appropriate inputs and compare them with real output of system can be achieved . Criterions such as: Estimated time to occurrence of fault condi ...
Jurek Gryz The frame problem in artificial intelligence and
Jurek Gryz The frame problem in artificial intelligence and

... such axioms would dramatically degrade performance of any system. It is also counterintuitive. If the goal of AI is to build a system that resembles human mode of reasoning, than this is certainly not correct. When we pick up B from A we do not remind ourselves that the distance of A from the Sun ha ...
Toward a Theory of Intelligence - Boston College Computer Science
Toward a Theory of Intelligence - Boston College Computer Science

... potentially) infinite, because the learner must come up with a program that duplicates all of it in finite time. That means that it must do so after it has seen only a finite part of that behavior. Thus, the program it comes up with must characterize all of the black box’s behavior, including the p ...
Graduate Student Orientation - Department of Computer Science
Graduate Student Orientation - Department of Computer Science

...   It helps to have a good mentor   Drive, curiosity, hard work, creativity, persistence, thoroughness, intelligence do pay off ...
PPT
PPT

... • Translation / Understanding ...
Innovative Solutions to Regulating Artificial Intelligence
Innovative Solutions to Regulating Artificial Intelligence

... Google establish an ethics board to govern the future use of the artificial intelligence technology.1 Google apparently agreed, but nothing is known about who the members of the board are or of the content of any discussions that the board might have had. On 20 July 2016, Google reported that it had ...
View PDF - Advances in Cognitive Systems
View PDF - Advances in Cognitive Systems

... situation as it is experienced. In ambition, integrated cognitive systems represent one of the fundamental goals of artificial intelligence. Having such artifacts available for study should result in greater insights about the requirements for human-level cognition. However, a significant obstacle e ...
CV - School of Computing - University of South Alabama
CV - School of Computing - University of South Alabama

...  Similar presentation at UL Lafayette, CACS Weekly Colloquium, September 25, 2009 “Knowledge Discovery in Digital Media”, University of South Alabama, Guest Lecture, October 1, 2009. “Automatic Annotation of Satellite Imagery”, UL Lafayette, CACS Weekly Colloquium, September 7, ...
A bibliography of the intersection of genetic search and artificial
A bibliography of the intersection of genetic search and artificial

... This is a fairly informal bibliography of work relating artificial neural networks (ANNs) and genetic search. It is a collection of books, papers, presentations, and reports which I've come across in the course of pursuing my interest in using genetic search techniques for the design of ANNs and in ...
Essential Thinking. Introduction to Problem Solving
Essential Thinking. Introduction to Problem Solving

... Essential Thinking. Introduction to Problem Solving Antoni Ligeza ...
Multi-Agent Systems in Practice When Research Meets - DAI
Multi-Agent Systems in Practice When Research Meets - DAI

... with support for the service oriented architecture (SOA) [11] design principle. When analysing existing agent applications, we recognised that a lot of works were implemented through agent frameworks with support for SOA. We explain this phenomenon with the fact that a programming framework, which m ...
Resume - University of Houston
Resume - University of Houston

... although the estimators do not form a martingale or a submartingale. More recent articles [57] -- [64] ,for example, concentrate on goal uncertainty. My more recent research [70]-- is in the areas of the mathematical theory of evidence, uncertainty in expert systems, knowledge acquisition, fuzzy log ...
- Cambridge Center for Behavioral Studies
- Cambridge Center for Behavioral Studies

... ELIZA ELIZA was a program written by Joseph Weizenbaum (Weizenbaum, 1966) from 1964 to 1966 while he was a researcher at M.I.T. ELIZA carried on a “conversation” in probably the most limited manner possible — by reacting as though it were a Rogerian therapist, it simplified its task considerably. Ps ...
A MANUSCRIPT OF KNOWLEDGE REPRESENTATION
A MANUSCRIPT OF KNOWLEDGE REPRESENTATION

... knowledge representation (KR), the algorithms needed to apply that knowledge, and the languages and programming techniques used in their implementation [1]. The definition is: There are a number of cognitive tasks that people do easily often, indeed, with no conscious thought at all but that it is e ...
Reconstructing  Physical Symbol Systems
Reconstructing Physical Symbol Systems

... A symbol may be used to designate any expression whatsoever. That is, given a symbol, it is not precribed a priori what expressions it can designate. This arbitrariness pertains only to symbols; the symbol tokens and their mutual relations determine what object is designated by a complex expression. ...
artificial intelligence planning for generative computer aided process
artificial intelligence planning for generative computer aided process

... systems, which use expressive declarative languages for representing knowledge about goals and actions for achieving them, along with their preconditions and effects. Thus, these planners are capable of finding solutions chaining action sequences to achieve goals or preconditions of other actions [3 ...
Artificial Participation: An Interview with Warren Sack
Artificial Participation: An Interview with Warren Sack

... designer and media theorist presently completing a Ph.D. at the MIT Media Laboratory. Sack makes computer-based social technologies that make you stop and think about how much you are invested in automatic ways of conversing. The computer program ELIZA has been doing this since 1966, but as Sack dis ...
Chapter 3
Chapter 3

... Gorry & Scott Morton (1971) argued that an information system that focused on single problems faced by single managers would provide better support. Central to their concept was a table, called the Gorry-Scott Morton grid (Figure 11.2) that classifies problems in terms of problem structure & managem ...
Sborník vědeckých prací Vysoké školy báňské
Sborník vědeckých prací Vysoké školy báňské

... relevant to the application of the knowledge. For instance, a diagnostic system needs expert knowledge and the data concerning the problem to be diagnosed. In some knowledge-based systems, we make distinctions between metalevel and object-level knowledge. Object-level knowledge is the knowledge for ...
G52HPA: History and Philosophy of Artificial Intelligence Outline of
G52HPA: History and Philosophy of Artificial Intelligence Outline of

... “Joe Bear was hungry. He asked Irving Bird where some honey was. Irving refused to tell him, so Joe offered to bring him a worm if he’d tell him where some honey was. Irving agreed. But Joe didn’t know where any worms were, so he asked Irving, who refused to say. So Joe offered to bring him a worm i ...
< 1 ... 14 15 16 17 18 19 20 21 22 ... 143 >

AI winter

In the history of artificial intelligence, an AI winter is a period of reduced funding and interest in artificial intelligence research. The term was coined by analogy to the idea of a nuclear winter. The field has experienced several hype cycles, followed by disappointment and criticism, followed by funding cuts, followed by renewed interest years or decades later. There were two major winters in 1974–80 and 1987–93 and several smaller episodes, including: 1966: the failure of machine translation, 1970: the abandonment of connectionism, 1971–75: DARPA's frustration with the Speech Understanding Research program at Carnegie Mellon University, 1973: the large decrease in AI research in the United Kingdom in response to the Lighthill report, 1973–74: DARPA's cutbacks to academic AI research in general, 1987: the collapse of the Lisp machine market, 1988: the cancellation of new spending on AI by the Strategic Computing Initiative, 1993: expert systems slowly reaching the bottom, and 1990s: the quiet disappearance of the fifth-generation computer project's original goals.The term first appeared in 1984 as the topic of a public debate at the annual meeting of AAAI (then called the ""American Association of Artificial Intelligence""). It is a chain reaction that begins with pessimism in the AI community, followed by pessimism in the press, followed by a severe cutback in funding, followed by the end of serious research. At the meeting, Roger Schank and Marvin Minsky—two leading AI researchers who had survived the ""winter"" of the 1970s—warned the business community that enthusiasm for AI had spiraled out of control in the '80s and that disappointment would certainly follow. Three years later, the billion-dollar AI industry began to collapse.Hypes are common in many emerging technologies, such as the railway mania or the dot-com bubble. An AI winter is primarily a collapse in the perception of AI by government bureaucrats and venture capitalists. Despite the rise and fall of AI's reputation, it has continued to develop new and successful technologies. AI researcher Rodney Brooks would complain in 2002 that ""there's this stupid myth out there that AI has failed, but AI is around you every second of the day."" In 2005, Ray Kurzweil agreed: ""Many observers still think that the AI winter was the end of the story and that nothing since has come of the AI field. Yet today many thousands of AI applications are deeply embedded in the infrastructure of every industry."" He added: ""the AI winter is long since over.""
  • studyres.com © 2025
  • DMCA
  • Privacy
  • Terms
  • Report