• 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
Presentation1
Presentation1

...  1475: modern game evolved  1700-1900: supposed automatons ...
CIS 690 - Kansas State University
CIS 690 - Kansas State University

... – Key question in AI • What is a plausible outcome? • Especially important in knowledge-based expert systems • Of practical important in planning, machine learning – Related questions • How can an agent make rational decisions given beliefs about outcomes of actions? • Specifically, what does it mea ...
here - ABC Research
here - ABC Research

... Applications of techniques of artificial life (especially fine-grained agents and the dynamics and emergent characteristics of their interactions); artificial intelligence, particularly knowledge representation and distributed planning and scheduling, in multiple domains including cyber security, in ...
The Eighth AAAI Conference on Artificial Intelligence and Interactive
The Eighth AAAI Conference on Artificial Intelligence and Interactive

... game, which introduced a brand new method of scientific discovery in which novices can solve problems that advance scientific frontiers. Popovic used his talk to illustrate how game design and data mining can be used to revolutionize game-based learning and education. The talk was followed up by pap ...
Source Analysis
Source Analysis

... has a Buddhism biased lean in his article which is a notable position he takes juxtaposed to other articles he has written. According to Robsville Technological AI can only express “some” features of human intelligence. Robsville states that “the real test of Artificial Intelligence would be to prod ...
Introduction to Neural Networks
Introduction to Neural Networks

...  For each hidden layer (from output to input):  For each unit in the layer determine how much it contributed to the errors in the previous layer.  Adapt the weight according to this contribution ...
Affective Behavior Models for Virtual Humans and Social Robots
Affective Behavior Models for Virtual Humans and Social Robots

1 senior - DOST Sci
1 senior - DOST Sci

... necessary for AI, it was not until the early 1950’s that the link between human intelligence and machines was really observed. It was Norbert Wiener who theorized that all intelligent behaviors was the result of feedback mechanism. Mechanisms that could possibly be simulated by machines. The most fa ...
AI in Automotive? - Linux Foundation Events
AI in Automotive? - Linux Foundation Events

... In computer science and related fields, artificial neural networks (ANNs) are computational models inspired by an animal's central nervous systems (in particular the brain) which is capable of machine learning as well as pattern recognition. Artificial neural networks are generally presented as syst ...
Models and Algorithms for NLP
Models and Algorithms for NLP

... The Turing Test • Alan Turing (1950): Empirical test for Artificial Intelligence. A human interrogator asks questions to a human and to a machine through a teletype, and tries to find out who is the human and who is the machine. Q: Please write me a sonet on the topic of the Fouth Bridge. A: Count ...
Computer Science as Empirical Enquiry
Computer Science as Empirical Enquiry

... ‘Best Fit’ search evolved from Logic Theorist and ‘Means-End Analysis’ evolved with GPS. ...
Introduction to Cognitive Science
Introduction to Cognitive Science

... of representing this information – in…. The study of vision must therefore include not only the study of how to extract from images the various aspects of the world that are useful to us, but also an inquiry into the nature of the internal representations by which we capture this ...
Preface Volume 3
Preface Volume 3

... groups. Alongside, mass access to and adoption of modern communication technologies have made it possible to bridge learners and educators across spatiotemporal divides. Students can now collaborate using educational technology in ways that were not previously possible. Intelligent tutoring systems ...
Machine Learning: Symbol
Machine Learning: Symbol

... Specific to General Search Maintains a set S of candidate concepts, the maximally specific generalizations from the training instances A concept c is maximally specific if it – covers all positive examples, non of the negative examples, and – for any other concept c’ that covers the ...
Advanced Artificial Intelligence CS 687 Jana Kosecka, 4444
Advanced Artificial Intelligence CS 687 Jana Kosecka, 4444

... and improve performance on future tasks •  Regression and classification problems •  Regression - E.g. prediction of house prices •  Classification – disease/no disease •  Artificial neural networks •  Unsupervised learning •  Finding structure in the available data ...
Artificial Intelligence and Multi
Artificial Intelligence and Multi

... Agent concept in fashion during last decade as any software system • rational and autonomous action in a (changing) environment • able to interact into a network (of possible 0 nodes): »Multi-agent systems (interaction centred approach) • A very useful paradigm to the deployment of inherently comple ...
Course Specifications
Course Specifications

... Access to this course unit via a credit contract is determined after successful competences ...
Discussion of  "Exploiting Relevance through  Model-Based
Discussion of "Exploiting Relevance through Model-Based

... that they contain various forms of procedural information. Research on frames, scripts and mental models [5, 7, 3] also argues in favor of a model-basedapproach over a formula-based or "axiom-based" representation. But again, these proposals often allow for procedural information to be part of the K ...
Module Specification
Module Specification

... Module name Module code School Department or equivalent UK credits ECTS Level Delivery location (partnership programmes only) ...
CSE 590ST Statistical Methods in Computer Science
CSE 590ST Statistical Methods in Computer Science

... What’s in It for Computer Scientists? • Logic is not enough • The world is full of uncertainty and nondeterminism • Computers need to be able to handle it • Probability: New foundation for CS ...
Artificial Intelligence Artificial Intelligence is the field of study
Artificial Intelligence Artificial Intelligence is the field of study

... Quality Control - Attaching a camera or sensor to the end of a production process to automatically inspect for defects. • Target Recognition from video and/or infrared image data ...
Here
Here

... element) in accordance with the results from the performance ...
The 6th International Conference on Computational Intelligence and
The 6th International Conference on Computational Intelligence and

... - Autonomic and self-managed software - Empirical software engineering ...
CS300_Fall15.pdf
CS300_Fall15.pdf

... Note: If you have special needs, please come and talk to me at the end of the first class. Course Description: This course is an introduction to the field of artificial intelligence. A survey of classical search in artificial intelligence and machine learning, and an in-depth examination of a specif ...
What is Automated Reasoning?
What is Automated Reasoning?

... using some previously proved theorems as well); but it will generally require some insight, inspiration, or at least experience, to find the right chains of reasoning. Once a proof is found, it can usually be made more detailed. This is almost like looking at a physical specimen under the microscope ...
< 1 ... 159 160 161 162 163 164 165 166 167 ... 241 >

History of artificial intelligence

The history of artificial intelligence (AI) began in antiquity, with myths, stories and rumors of artificial beings endowed with intelligence or consciousness by master craftsmen; as Pamela McCorduck writes, AI began with ""an ancient wish to forge the gods.""The seeds of modern AI were planted by classical philosophers who attempted to describe the process of human thinking as the mechanical manipulation of symbols. This work culminated in the invention of the programmable digital computer in the 1940s, a machine based on the abstract essence of mathematical reasoning. This device and the ideas behind it inspired a handful of scientists to begin seriously discussing the possibility of building an electronic brain.The field of AI research was founded at a conference on the campus of Dartmouth College in the summer of 1956. Those who attended would become the leaders of AI research for decades. Many of them predicted that a machine as intelligent as a human being would exist in no more than a generation and they were given millions of dollars to make this vision come true. Eventually it became obvious that they had grossly underestimated the difficulty of the project. In 1973, in response to the criticism of James Lighthill and ongoing pressure from congress, the U.S. and British Governments stopped funding undirected research into artificial intelligence. Seven years later, a visionary initiative by the Japanese Government inspired governments and industry to provide AI with billions of dollars, but by the late 80s the investors became disillusioned and withdrew funding again. This cycle of boom and bust, of ""AI winters"" and summers, continues to haunt the field. Undaunted, there are those who make extraordinary predictions even now.Progress in AI has continued, despite the rise and fall of its reputation in the eyes of government bureaucrats and venture capitalists. Problems that had begun to seem impossible in 1970 have been solved and the solutions are now used in successful commercial products. However, no machine has been built with a human level of intelligence, contrary to the optimistic predictions of the first generation of AI researchers. ""We can only see a short distance ahead,"" admitted Alan Turing, in a famous 1950 paper that catalyzed the modern search for machines that think. ""But,"" he added, ""we can see much that must be done.""
  • studyres.com © 2025
  • DMCA
  • Privacy
  • Terms
  • Report