• 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
Robotics
Robotics

... • Symbolic manipulation (as opposed to numerical calculations) • Enumerating / expanding trees of possibility: branch-and-bound search • Expert systems: states and testing conditions. • Neural nets (and other forms of machine learning) ...
cl11_oct9
cl11_oct9

... How do we want our intelligent systems to behave? How can we ensure they do so? Asimov’s Three Laws of Robotics: 1. A robot may not injure a human being or, through inaction, allow a human being to come to harm. 2. A robot must obey orders given it by human beings except where such orders would conf ...
the container stacking problem: an artificial intelligence planning
the container stacking problem: an artificial intelligence planning

... of Computer Science, where he leads a research team in artificial intelligence. He has worked on the development of temporal reasoning systems, Constraint Satisfaction Problems, planning and scheduling. He is the author of about 90 research articles which have been published in several journals and ...
chap.1
chap.1

... Artificial Intelligence (AI) is a big field, and this is a big book. We have tried to explore the full breadth of the field, which encompasses logic, probability, and continuous mathematics; perception, reasoning, learning, and action; and everything from devices to robotic planetary explorers. The ...
ASG_1_ES_ANS
ASG_1_ES_ANS

This article will discuss what artificial intelligence is and
This article will discuss what artificial intelligence is and

... abstract and difficult to know. However, this is what AI is, at least recently. AI need flexibility when it compute (or think/consider). And so does the ability to study unknown stuff instead of get a fixed response to each certain command. In this case, it is hard to figure out what the eventual go ...
Machine Intelligence Lab
Machine Intelligence Lab

...  Another goal is to understand intelligent behavior whether it occurs in machines or in humans or other animals.  Computer systems have been built that perform symbolic integration, perform medical diagnosis, prospect for oil, design and troubleshoot electronic circuits, play chess, and understand ...
Slides
Slides

... cognition, one has to take account of human interaction with the real-world environment to which the human responds, in which he or she acts, and from which he or she learns. This innovation is known as 'situated cognition' because it studies cognition within its real-world context or situation, or ...
www.mcs.uvawise.edu
www.mcs.uvawise.edu

... Something cannot be anymore true than true and no more false than false ...
Machine Learning in Medical Diagnosis and Prognosis
Machine Learning in Medical Diagnosis and Prognosis

... Education at Innopolis University, Tatarstan, Russia. He is also the head of "Machine Learning and  Knowledge Representation (MlKr) Lab at Innopolis University. Before his move to Russia, he was a faculty  member in the Dept. of Information Systems & Computer Engineering, College of Information Tech ...
Course outline - Computing Science
Course outline - Computing Science

... Students investigate non-deterministic computer algorithms that are used in wide application areas but cannot be written in pseudo programming languages. Non-deterministic algorithms have been known as topics of machine learning or artificial intelligence. The topics covered in this course include m ...
Artificial Intelligence
Artificial Intelligence

... – Facts about the world have to be represented in some way. Logic is one language that is used in AI. How should knowledge be structured? What is explicit, and what must be inferred? How to encode "rules" for inference so as to find information that is only implicitly known? How deal with incomplete ...
College of Business book review by David Coffee Title
College of Business book review by David Coffee Title

Self-improvement for dummies - Computer Science at Princeton
Self-improvement for dummies - Computer Science at Princeton

... Definition of AI (Merriam-Webster): ...
Poznan University of Technology European Credit Transfer System
Poznan University of Technology European Credit Transfer System

Artificial intelligence  COS 116, Spring 2012 Adam Finkelstein
Artificial intelligence COS 116, Spring 2012 Adam Finkelstein

... Definition of AI (Merriam-Webster): ...
The Long-‐‑Term Future of (Artificial) Intelligence
The Long-‐‑Term Future of (Artificial) Intelligence

... planet to a cinder is better than preserving human civilization. Futurists such as Edward Fredkin and Hans Moravec have, however, suggested that once the human race has fulfilled its destiny in bringing into existence entities of higher (and perhaps unlimited) intelligence, its own preservation may ...
CS 486/686
CS 486/686

... 341/CM 339 or SE 240), which is a true prerequisite, already accomplishes this goal. The CS 350 prerequisite unnecessarily restricts student choice of when to take AI without any corresponding benefit. Note: Any change to the CS 486 calendar description should also be made to the corresponding gradu ...
Artificial Intelligence - Computer Science Department
Artificial Intelligence - Computer Science Department

... problem in logical terms – Logical inference; strategies of resolution; capacity to solve problems by resolution – Graph and tree structures; algorithms for search in trees and graphs – Computational complexity; calculation of algorithm execution's cost ...
ppt - Princeton University
ppt - Princeton University

... Write a simulation program that simulates all 1011 neurons in the brain and their firings. ...
Artificial intelligence COS 116, Spring 2010 Adam Finkelstein
Artificial intelligence COS 116, Spring 2010 Adam Finkelstein

... Write a simulation program that simulates all 1011 neurons in the brain and their firings. ...
CS494/594: Artificial Intelligence Fall 2009 Tuesday/Thursday, 12:40 – 1:55 Instructor:
CS494/594: Artificial Intelligence Fall 2009 Tuesday/Thursday, 12:40 – 1:55 Instructor:

... -- logic, methods of reasoning -- mind as physical system -- foundations of learning, language, rationality Mathematics -- formal representation and proof -- algorithms, computation, (un)decidability, (in)tractability -- probability Economics -- formal theory of rational decisions Neuroscience -- pl ...
2/3 MCA Second Semester CA4T3 ARTIFICIAL INTELLIGENCE
2/3 MCA Second Semester CA4T3 ARTIFICIAL INTELLIGENCE

... The course is a basic prerequisite for software engineers which introduces basic concepts of AI. It will introduce the basic principles in artificial intelligence research. It will cover simple representation schemes, problem solving paradigms, constraint propagation, and search strategies. Areas of ...
FA08 cs188 lecture 1..
FA08 cs188 lecture 1..

... examples later)  This course is about designing rational agents  Abstractly, an agent is a function from percept histories to actions: ...
Satinder Singh University of Michigan
Satinder Singh University of Michigan

... recent success of Deep Learning, there is renewed hope and interest in Reinforcement Learning (RL) from the wider applications communities. Indeed, there is a recent burst of new and exciting progress in both theory and practice of RL. I will describe some results from my own group on a simple new c ...
< 1 ... 212 213 214 215 216 217 218 219 220 ... 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