• 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
SAT-based planning in complex domains: Concurrency, constraints
SAT-based planning in complex domains: Concurrency, constraints

... and C-PLAN has been to see whether the good performances obtained by SAT-based planners in the classical case would extend to more complex problems involving, e.g., concurrency and/or constraints and/or nondeterminism. The experimental analysis shows that this is indeed the case, at least in the cas ...
CS607_Quiz
CS607_Quiz

... From discipline of _____________ we have information about the network structure of a human brain and all the theories on functionalities of different human organs. biology mathematics computer science psychology In optimal path searches we try to find the __________ solution best worst least but no ...
Logics for Collective Reasoning
Logics for Collective Reasoning

important questions in part-a and answers...
important questions in part-a and answers...

... It also conveys to subordinates that the CEO has thought through the assumptions behind the financial goals and is serious about their importance. It allows people to explain and justify their suggestions and opinions with graphical support. ...
i think, therefore i invent: creative computers and the future of patent
i think, therefore i invent: creative computers and the future of patent

MANAGING KNOWLEDGE
MANAGING KNOWLEDGE

... • Case-based reasoning (CBR) – Descriptions of past experiences of human specialists (cases), stored in knowledge base – System searches for cases with problem characteristics similar to new one, finds closest fit, and applies solutions of old case to new case – Successful and unsuccessful applicati ...
A Perspective on Machine Consciousness
A Perspective on Machine Consciousness

... remains an abstract term (similar to intelligence). Many considered consciousness as causal (or non-causal) [32], [34], [35], accessible (or inaccessible) [33], [34], [38], [53], stateless (or having physical state) [1], [3], [38], [47], [52], [53], representational (or non-representational) [3], [1 ...
1 Towards an Intelligent Audit: online reporting, online audit, and
1 Towards an Intelligent Audit: online reporting, online audit, and

... audits are a mature product. Accounting and auditing revenue, adjusted for inflation, has remained flat for the last seven years. The traditional audit of financial statements adds value to both users and clients, is widely appreciated for its effect on the integrity of the capital markets, contribu ...
From Agent Theory to Agent Construction: A Case Study
From Agent Theory to Agent Construction: A Case Study

... and practice in two ways. First, he provided an abstract agent architecture that serves as an idealization of an implemented system and as a means for investigating theoretical properties [27]. A second effort developed an alternative formalization by starting with an implemented system and then for ...
BENCHMARKING THE TRANSITION TO AGILE MANUFACTURING: A KNOWLEDGE-BASED SYSTEMS APPROACH
BENCHMARKING THE TRANSITION TO AGILE MANUFACTURING: A KNOWLEDGE-BASED SYSTEMS APPROACH

... One of the central notions underlying the earliest work in knowledge-based systems was that a general problem-solving algorithm was sufficient for solving complex problems. In this approach, domain knowledge could be described with a set of IF-THEN rules, independent of any particular high-level pr ...
Description of Attraction-Repulsion Forces by
Description of Attraction-Repulsion Forces by

Early Knowledge Representation Formalisms [1] Uli Sattler General
Early Knowledge Representation Formalisms [1] Uli Sattler General

... – the body of truth, information, and principles acquired by humans – interpreted information that can be used – information evaluated and organised in the human mind so that it can be used purposefully ...
Universal Artificial Intelligence
Universal Artificial Intelligence

... • Example: Algorithm/complexity theory: The goal is to find fast algorithms solving problems and to show lower bounds on their computation time. Everything is rigorously defined: algorithm, Turing machine, problem classes, computation time, ... • Most disciplines start with an informal way of attack ...
Intelligent Agents
Intelligent Agents

... Utility-based Agents (2) • Add utility evaluation: not only how close does the action take me to the goal, but also how useful it is for the agent • Note: both goal and utility-based agents can plan with constructs other than rules • Other aspects to be considered: – uncertainty in perceptions and ...
Essay on „Daemon“ by Daniel Suarez To my mind, “Daemon” was a
Essay on „Daemon“ by Daniel Suarez To my mind, “Daemon” was a

... Furthermore the system consists of many different parts that are connected via the internet. The interaction between these systems has to be exact to carry out the right operations at the right time and to react to changes arising by the involved humans. A very impressive example for the adaption t ...
AI Chapter 3: Intelligent Agents - Foundations of Artificial Intelligence
AI Chapter 3: Intelligent Agents - Foundations of Artificial Intelligence

... An agent has a performance measure M and a set A of possible actions. Given a percept sequence P , as well as knowledge K about the world, it selects an action a ∈ A. The action a is optimal if it maximizes the expected value of M , given the evidence provided by P and K. The agent is rational if it ...
Impossibles AIBO Four-Legged Team Description Paper
Impossibles AIBO Four-Legged Team Description Paper

... approaches are run in these cases to realize the reason of being blocked. SVS is exploited, because GVS has failed to detect objects exactly in order to let DM module decide what to do properly. Additionally, post-Kidnapped state is happened in few moments. As a case in point, having booked, the rob ...
4 on 1
4 on 1

... Many sub-areas of AI can be classified by: Domain-specific vs. general. The environment. (Particular agent architectures sometimes also play a role, especially in Robotics.) → The same is true of the sub-topics in this course. The focus is on general methods (a bias in much of the AI field), and sim ...
View PDF - Boston College Law Review
View PDF - Boston College Law Review

... Beyond inventorship concerns, such machines present fascinating questions: Are computers thinking entities? Who should own the rights to a computer’s invention? How do animal artists differ from artificial intelligence? What would be the societal implications of a world in which most inventions were ...
Early Artificial Life
Early Artificial Life

... Genetic Algorithms in Search … D. Goldberg (Addison-Wesley) From Animals to Animats (Series of conference proceedings for ...
Innovative Solutions to Regulating Artificial Intelligence
Innovative Solutions to Regulating Artificial Intelligence

... potential lack of legal certainty that results still causes unsolved problems for investors and other participants in the field. Other regulation theorists are experimenting with different interventions in choice architecture to set the context and environment in which choices are made so as to prom ...
Part 2 - Simon Fraser University
Part 2 - Simon Fraser University

... Philippe Pasquier, January 2010 ...
An Efficient Hardware Implementation for AI applications
An Efficient Hardware Implementation for AI applications

... Although Artificial Intelligence (AI) has already been a challenging research area for more than 50 years, it still remains one of the most modern and interesting fields. Knowledge engineering and logic programming approaches have extensively been used in a considerable number of application domains ...
3. Define Artificial Intelligence in terms of
3. Define Artificial Intelligence in terms of

... 10. Define a Proof A sequence of application of inference rules is called a proof. Finding proof is exactly finding solution to search problems. If the successor function is defined to generate all possible applications of inference rules then the search algorithms can be applied to find proofs. 11. ...
Problem Difficulty and the Phase Transition in Heuristic Search
Problem Difficulty and the Phase Transition in Heuristic Search

... In our analysis, we use no-reopening, unicost greedy bestfirst search (GBFS) (Doran and Michie 1966). Consistent with all previous phase transition work of which we are aware, this algorithm aims to find a feasible solution. The Heuristic Function. To investigate the effect of γ on search effort and ...
< 1 ... 23 24 25 26 27 28 29 30 31 ... 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