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Resume - University of Houston
Resume - University of Houston

... utilities in terms of the learning factor are obtained. The estimators obtained from a martingale or a submartingale allowing the analysis of when and how the decision maker can terminate the feedback decision making loop. In [56] the study is generalized so that termination is analyzed although the ...
Artificial Intelligence: a Promised Land for Web Services
Artificial Intelligence: a Promised Land for Web Services

... reasoning. In many cases, decision making is left to humans. The only automated composition offered is in limited situations where a central repository is used and the requestor and provider are part of the same system. However, the web is distributed in nature. Intelligent reasoning and collaborati ...
Intelligent Tutoring Systems: An Overview
Intelligent Tutoring Systems: An Overview

... content associations. During the last ten years new aspects emerged, like psychological aspects and affective states, focused on the types of emotion involved in the learning process. In this chapter, a literature review is presented, in order to summarises directions and research paths in the use o ...
The Simulation of Action Strategies of Different Personalities
The Simulation of Action Strategies of Different Personalities

... the mean of the participants’ results of those who used the nucleotides-first-strategy (n=6).…………………………214 Mean of the results for the set of parameters (B) and the mean of the participants’ results of those who used the nucleotides-first-strategy (n=6) ……………………….214 Mean of the results for the set ...
Alan Turing and the Matrix: Intelligent Systems for Law Enforcement
Alan Turing and the Matrix: Intelligent Systems for Law Enforcement

... The research of professor van den Herik at Leiden University is focused on the following question: Can a computer administer justice? 1 At the basis of this question lies a deeper question: can computers think? When we look beyond this question, we see it in turn gives rise to fundamental questions ...
ARTIFICIAL INTELLIGENCE SELECTION WITH
ARTIFICIAL INTELLIGENCE SELECTION WITH

... Ibatullin et al. [8] mentioned that theoretically, available analytical technologies make it possible to solve the problem of selection of the optimum EOR method, though in practice it is complicated by the similarity of the different methods. Expert system technology has recently gained an increasi ...
Bayesian Networks for Logical Reasoning
Bayesian Networks for Logical Reasoning

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GRANULAR COMPUTING: A NEW PARADIGM IN INFORMATION

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Combining Linear Programming and Satisfiability Solving for

... a simple yet expressive target language and take advantage of rapidly progressing solution techniques. However, many real-world tasks have a metric aspect. For instance, resource planning, temporal planning, scheduling, and analog circuit verification problems all require reasoning about real-valued ...
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Leveraging the upcoming disruptions from AI and IoT

... creating a significant boost for the global economy. In the 1980s, nobody could have fully imagined the broad and deep changes that PCs would bring to our lives. Similarly, few people today can envision what AI will mean to us over the coming decades. ...
AVATAR Modulo Theories
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The AAAI 2006 Mobile Robot Competition and
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Exploiting Anonymity and Homogeneity in Factored

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Lecture 1: Introduction - Centre for Intelligent Machines
Lecture 1: Introduction - Centre for Intelligent Machines

... •  Key idea is to hold the program in memory as a series of instructions. •  The control unit (i.e. “computer”) treats these instructions in the same way as other data. •  Allows the program to change (even as it is running.) ...
CS 561a: Introduction to Artificial Intelligence
CS 561a: Introduction to Artificial Intelligence

... How is an Agent different from other software? • Agents have social ability, that is, they communicate with the user, the system, and other agents as required • Agents may also cooperate with other agents to carry out more complex tasks than they themselves can handle • Agents may migrate from one ...
Autonomous Intelligent Agents in Cyber Offence
Autonomous Intelligent Agents in Cyber Offence

... Cyber warfare is more and more a moving target: developments in the field are rapid, especially in the technological arena, and artificial intelligence (AI) techniques are more and more at the heart of applications. The concept of agents has been known for some time and software with some agent char ...
The 1995 Robot Competition and Exhibition - David P. Miller
The 1995 Robot Competition and Exhibition - David P. Miller

... It has a custom-built voice-recognition system and speech synthesizer. Although its native language is Korean, it spoke perfect English throughout the competition. The control architecture was designed to combine both behavior-based and knowledge-based approaches. Major components of the navigation ...
Autonomous Intelligent Agents in Cyber Offence
Autonomous Intelligent Agents in Cyber Offence

... Cyber warfare is more and more a moving target: developments in the field are rapid, especially in the technological arena, and artificial intelligence (AI) techniques are more and more at the heart of applications. The concept of agents has been known for some time and software with some agent char ...
An Intelligent Distributed System for Strategic Decision Making
An Intelligent Distributed System for Strategic Decision Making

... 2. detection of contradictory actions, and, consequently, the possibility for the user to modify the chosen global strategy; 3. the possibility of solving ill-defined problems by using the trial-and-error method and by testing several alternatives in order to find a satisfactory one; 4. the possibil ...
Exploring the world of knowledge management: agreements and
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... objectives of KM are to identify and leverage the collective knowledge in an organization to achieve the overriding goal of helping organizations compete and survive (Choo, 1996). These objectives are somewhat distinct from the objectives in information management; unfortunately this distinction is ...
Chapter 1 The Architecture of Human
Chapter 1 The Architecture of Human

... garding human intelligence. Many judgment calls must be made in fusing multiple models in the way that the integrative diagram does, but we feel these can be made without violating the spirit of the component models. In assembling the integrative diagram, we have made these judgment calls as best we ...
Only-Knowing - Department of Computer Science
Only-Knowing - Department of Computer Science

... We will propose a new modal logic which simultaneously captures DL, AEL, and a variant of AEL due to Konolige (1988). This will allow us not only to study the properties of DL in terms of an underlying model of belief, but also the relationship among these three different forms of nonmonotonic reaso ...
AAAI News - Association for the Advancement of Artificial Intelligence
AAAI News - Association for the Advancement of Artificial Intelligence

... 1979–1981; Association for Computational Linguistics Executive Committee, 1986–1988, Program Committee, 1982 and 1989; Editorial Boards of Artificial Intelligence, the American Journal of Computational Linguistics, and Computational Intelligence; and Associate Editor, Annual Review of Computer Scien ...
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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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