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Paper - Christian Muise
Paper - Christian Muise

... Here, we describe briefly the requisite planning background (cf. Ghallab et al. (2004) for a full treatment). A Fully Observable Non-Deterministic (FOND) planning problem consists of a tuple hF , I, Goal, Acti; F is a set of fluents, and we use S as the set of all possible states; I ⊆ F is the initi ...
Converging on the Divergent: - Computational Creativity Group
Converging on the Divergent: - Computational Creativity Group

... behaviors. The study of creativity in AI is not new, but it is unusual. When Margaret Boden included a chapter on creativity in her textbook Artificial Intelligence and Natural Man (Boden 1977), colleagues asked, “Why on earth are you doing that?” (Boden 1999). Sometimes, it seems that creativity is, ...
Tort Liability for Artificial Intelligence and Expert Systems, 10
Tort Liability for Artificial Intelligence and Expert Systems, 10

... specified domain of knowledge. An ES reasons by manipulating abstract symbology rather than the external or real world. The human user must interpret the output, and the output does not interact directly with later inputs to the program. While both AI and ES programs use techniques drawn from curren ...
a study of intelligent controllers application in distributed systems
a study of intelligent controllers application in distributed systems

... feedback systems have bottlenecks to handle non-linear dynamics and variable load conditions such as web based distributed systems. Intelligent controllers have the ability to handle such challenges and in this paper we review the applicability of various intelligent controller techniques that are a ...
Definition of a `Robot`
Definition of a `Robot`

... program this information into the robot's computer. Many mobile robots have a built-in balance system (a collection of gyroscopes, for example) that tells the computer when it needs to correct its movements. Bipedal locomotion (walking on two legs) is inherently unstable, which makes it very difficu ...
ppt - UCL
ppt - UCL

... • Incorporating human faculties such as ‘Debating’ ...
Synthetic Worlds and the Future of Creative Writing
Synthetic Worlds and the Future of Creative Writing

... Fenwick Gibsen ate breakfast with his wife each and every morning before commuting to his office. Suzannah Gibsen, Fenwick well knew, was a bit of a retro health nut; in fact, to say “a bit” was to understate the matter rather dramatically. She insisted on each of them consuming, side by side in the ...
Irrigation Expert System for Trees
Irrigation Expert System for Trees

... engineers/officers and farmers which lead to enhance water usage in Egypt. Expert system also known as knowledge based system which is a branch of artificial intelligence and was developed by the AI community in the mind-1960s [3]. It is a computer program that includes the knowledge and analytical ...
Inteligencia Artificial
Inteligencia Artificial

... partial matches repeatedly that have some unsatisfied premises. • It would be better to retain and gradually complete the partial matches as new facts arrive, rather than discarding them. • The rete algorithm was the first to address this problem seriously. • The algorithm preprocesses the set of ru ...
Formalizing Taxonomy: A Status Report
Formalizing Taxonomy: A Status Report

... only two LTA combinations were provably consistent: no LTAs and nonemptiness. This involved 928,680 judgments and took 46.0 hours. To get a better sense for the impact of LTAs, the combined taxonomies and articulations were divided into 82 connected subgraphs Among these we found 5 inconsistencies a ...
Practical Issues in Modeling Large Diagnostic Systems with Multiply
Practical Issues in Modeling Large Diagnostic Systems with Multiply

... Bayesian networks (BNs) (Pea88; Nea90; Jen96) provide a normative formalism for diagnosis based on probabilistic domain knowledge. In the past decade, researchers have studied how to model diagnostic problems using BNs (Hec90; DGH92; HBR95) and many algorithms have been proposed to perform inference ...
Logic Programming with Defaults and Argumentation Theories*
Logic Programming with Defaults and Argumentation Theories*

... there has been a bewildering multitude of formal approaches to defeasibility based on a wide variety of intuitions about desired behavior and conceptualization. The difficulties in agreeing on what is the “right” intuition are discussed in [17,6] among others. On top of this, the formal machinery em ...
A Knowledge-Based Approach to Problem Formulation for Product
A Knowledge-Based Approach to Problem Formulation for Product

... well as the resources available to continually assess the ongoing MDO process and be able to identify if the selected problem formulation was the right choice or not based on some set of criteria (which may evolve over time during the course of the design project as well). For example, it may be dec ...
Machine Consciousness: A Modern Approach
Machine Consciousness: A Modern Approach

... it, “Most roboticists are more than happy to leave these debates on consciousness to those with more philosophical leanings” (Arkin 1998). Either because consciousness has no practical consequences or because it is a false problem, these group of authors prefer to focus on more defined issues (visio ...
My second proposal is a project based on the “double
My second proposal is a project based on the “double

... simple, demonstration-type tasks. The challenge is to see whether or not such systems can be designed for the many real-world tasks that we want robots and agents to perform. As we have seen, there are three major components to be synthesized, namely, abstractions of sensed data, rules for creating ...
Transfer Learning of Latin and Greek Characters in
Transfer Learning of Latin and Greek Characters in

My second proposal is a project based on the “double
My second proposal is a project based on the “double

... simple, demonstration-type tasks. The challenge is to see whether or not such systems can be designed for the many real-world tasks that we want robots and agents to perform. As we have seen, there are three major components to be synthesized, namely, abstractions of sensed data, rules for creating ...
Knowledge acquisition and processing: new methods for
Knowledge acquisition and processing: new methods for

... Perception-based systems Fuzzy systems are rule-based systems (knowledge-based systems) that can be viewed as perception-based systems. The rule base of a fuzzy system is composed of fuzzy IF-THEN rules that are similar to the rules used by humans in their reasoning. ...
Modularity and Design in Reactive Intelligence
Modularity and Design in Reactive Intelligence

Intelligent Online e-Learning Systems: A Comparative Study
Intelligent Online e-Learning Systems: A Comparative Study

... very challenging task for web site provider to make available the user-specific accurate information, on demand and as per requirement without any prior knowledge of that web user. After studying the current working of client-server based web service architecture, it has been found that all informat ...
Course Descriptions
Course Descriptions

... ACN 5314 (HCS 5314) Cognitive and Neural Modeling Lab (3 semester hours) Autoassociative, associative, competitive learning, recurrent, and back-propagation artificial neural network algorithms in a “hands-on” micro-computer laboratory environment using special simulation software. Applications to p ...
Welcome to G53ASD AUTOMATED
Welcome to G53ASD AUTOMATED

... Prerequisites (desirable but not essential): Mathematics for Computer Scientists (G51MCS) Mathematics for Computer Scientists (G51MC2) Artificial Intelligence Methods (G51BAIM) Assessment: One written 2 hour examination ...
Program booklet
Program booklet

... Chinese AI community into the world of international AI. ...
Program - Association for the Advancement of Artificial Intelligence
Program - Association for the Advancement of Artificial Intelligence

... evening sessions. Tuesday evening will also include Doctoral Consortium posters and Virtual Agents demos. Wednesday and Thursday will include posters by student abstract authors who will present poster ads during the lunchtime session prior to their assigned poster session, as well as the Games Show ...
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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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