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Performance Study of Recent Swarm Optimization Techniques
Performance Study of Recent Swarm Optimization Techniques

... It is claimed that artificial intelligence is playing an 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. Artif ...
Lecture 1 Course Introduction Artificial Intelligence
Lecture 1 Course Introduction Artificial Intelligence

... – What level of abstraction? “Knowledge” or “circuits”? – How to validate? Requires 1) Predicting and testing behavior of human subjects (top-down) 2) Direct identification from neurological data (bottom-up) Both approaches (roughly, Cognitive Science and Cognitive Neuroscience) are now distinct fro ...
Behavior-based robotics as a tool for synthesis of artificial behavior
Behavior-based robotics as a tool for synthesis of artificial behavior

... foundations, goals and the state of the field in 1991), many interesting and important research questions remain to be addressed. Among them are: • What organizational principles will be needed in order to scale-up behavior-based systems so that they are able ...
Indirect and Conditional Sensing in the Event Calculus
Indirect and Conditional Sensing in the Event Calculus

... Providing an agent with the capability to reason about its knowledge of the environment requires that we provide a theory that can represent and reason about that part of itself devoted to describing the environment. In particular, knowledge producing actions modify an agent’s theory, as well as pos ...
Course Evaluation - East Stroudsburg University
Course Evaluation - East Stroudsburg University

... 428 Artificial Intelligence and Heuristic Programming ...
Paper
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... systems can consequently not be based on planning from first principles [Koehler91]. It is also not surprising that in at least 80 percent of all mechanical engineering planning tasks, even human planners re-use old plans by adapting them to the new planning problem [Spur79; ThobenSchmalhofer90]. Ex ...
intelligent agent
intelligent agent

Improving Control-Knowledge Acquisition for Planning by Active
Improving Control-Knowledge Acquisition for Planning by Active

... – it randomly selects whether to change the initial state or the goal of the problem; – it retrieves the literal l in which the chosen instance appear in the state/goal. For instance, suppose that it has selected objecti , such that (in objecti airplanej ) is true in the initial state; – it randomly ...
Rule Based Expert System for Medical Diagnosis-A Review
Rule Based Expert System for Medical Diagnosis-A Review

... the knowledge base rules with the database, using heuristics or “rules of thumb” logic. `The objective of this paper is to survey the research work done in the field of medical through rule based expert system. II. WHAT ARE RULE-BASED SYSTEMS? Conventional problem-solving computer programs make use ...
Medical Diagnosis with C4.5 Rule Preceded by Artificial
Medical Diagnosis with C4.5 Rule Preceded by Artificial

... where multiple artificial neural networks are trained to solve the same problem. Since the generalization ability of learning systems based on artificial neural networks can be significantly improved with this technique, it has become a hot topic in both machine learning and neural computing communi ...
Propositional Logic - Faculty of Computing
Propositional Logic - Faculty of Computing

... compound propositions.  To draw up a truth table, construct a column for each proposition involved.  You need 2n rows for n propositions for all possible ways of setting the propositions to T and F.  If we have 3 propositions, p; q; r, i.e. we need 23 = 8 rows.  Next, construct a column for each ...
How to keep robot/AI under control?
How to keep robot/AI under control?

... issues, ethical questions will raise also. If there is need to sacrifice a human life, then there is a question who’s. When people are questioned, then they say, that people in that car should be dying, except, when themselves are in that car [2]. Also there will be question, who should make decisio ...
Handling Function Symbols in the DLV Grounder
Handling Function Symbols in the DLV Grounder

... uninterpreted function symbols have been frequently considered, thus enabling a natural representation of complex and recursive structures, such as strings, lists, stacks, trees and many other. In the latest years, ASP became widely used for knowledge representation and reasoning in many application ...
Artificial neural networks – how to open the black boxes?
Artificial neural networks – how to open the black boxes?

... than one neuron per layer. It would be more simple to sum up their weights and use them in only one neuron. In the case of less neurons than necessary several similar input-output relations will pass one and the same group of neurons. It becomes clear that the next important step has to be the deter ...
MS PowerPoint 97/2000 format
MS PowerPoint 97/2000 format

... What Is A Weak Classifier? – One not guaranteed to do better than random guessing (1 / number of classes) – Goal: combine multiple weak classifiers, get one at least as accurate as strongest ...
Intelligent Vehicles
Intelligent Vehicles

... Intelligent Environments ...
Hybrid Soft Computing Systems: Where Are We Going
Hybrid Soft Computing Systems: Where Are We Going

The Imminent Danger of Artificial Intelligence
The Imminent Danger of Artificial Intelligence

... This paper will discuss the problems that might arise with the technology of the future. If man creates a sentient machine, then how should the law treat this machine? Would it be property? Would it be able to claim constitutional rights? Part I of this article will argue that not only is artificial ...
Chap 11: Artificial Intelligence II: Operational Perspective
Chap 11: Artificial Intelligence II: Operational Perspective

... • Haack argues that there are very few true candidates for which Fuzzy Logic is useful. Most problems can be solved using principles drawn from probability. The computer programs are much too complicated and thus Fuzzy Logic serves no useful purpose. • Fox has rebutted this line of reasoning by noti ...
ARTIFICIAL INTELLIGENCE PLANNING FOR GENERATIVE
ARTIFICIAL INTELLIGENCE PLANNING FOR GENERATIVE

... Thus, this planners are capable of finding solutions chaining action sequences to achieve goals or preconditions of other actions [3, 4]. Because of the declarative nature of the languages used by these planners, they are more flexible than logic rule based systems in that not every combination of e ...
Agents - Hiram College
Agents - Hiram College

... – Concrete implementation of an algorithm that decides what the agent will do – Runs within a “physical system” – Not externally observable (thought) ...
Mapping the Landscape of Human- Level Artificial General
Mapping the Landscape of Human- Level Artificial General

... by Spearman, who in 1904 proposed the psychological factor g (for general intelligence). Spearman argued that g was biologically determined, and represented the overall intellectual skill level of an individual. A related advance was made in 1905 by Binet and Simon, who developed a novel approach fo ...
How to Grow a Mind: Statistics, Structure, and Abstraction
How to Grow a Mind: Statistics, Structure, and Abstraction

... meanings of words. Any parent knows, and scientists have confirmed (1, 2), that typical 2-yearolds can learn how to use a new word such as “horse” or “hairbrush” from seeing just a few examples. We know they grasp the meaning, not just the sound, because they generalize: They use the word appropriat ...
aaai17 - International Computer Science Institute
aaai17 - International Computer Science Institute

... be disastrous. Because constructions integrate form and meaning, they constitute a potentially ground-breaking approach to NLU. For communication with autonomous systems such as robots, an action-oriented embodied semantics seems especially promising. Some moderate scale NLU systems of this kind hav ...
Artificial Intelligence academic programmes in the Netherlands
Artificial Intelligence academic programmes in the Netherlands

... The aim of this report is to evaluate the state of the art in bachelor and master programmes in the Netherlands in the area of AI so as to stimulate further improvement in academic education in this area. As the accreditation process has been finished and as the committee has already provided progra ...
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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.""
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