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The Comparison between Forward and Backward Chaining
The Comparison between Forward and Backward Chaining

... Artificial Intelligence (AI) began before the arrival of electronics; it began when philosophers and mathematicians such as George Boole (rightly regarded as one of the founding fathers of computing and information technology (1815–1864)) and others established the principles, which came to be used ...
approximate reasoning using anytime algorithms
approximate reasoning using anytime algorithms

... implementation. However, the use of anytime algorithms as the components of a modular system presents a special type of scheduling problem. The question is how much time to allocate to each component in order to maximize the output quality of the complete system. We refer to this problem as the anyt ...
Leveraging the upcoming disruptions from AI and IoT
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. ...
Using Neural Networks to Improve Behavioural Realism in
Using Neural Networks to Improve Behavioural Realism in

... There are many learning algorithms but the most commonly used with feed-forward multi-layer neural networks is the backpropagation algorithm. The network is presented with training data such that it can infer the nonlinear mapping implied in the data at a minimum average error between the network ou ...
AAAI News - Association for the Advancement of Artificial Intelligence
AAAI News - Association for the Advancement of Artificial Intelligence

... Eighteenth International Joint Conference on Artificial Intelligence (IJCAI-03) is available at the IJCAI-03 web site at www.ijcai-03.org or by writing to [email protected]. Copies of the IJCAI-03 registration brochure are being mailed to all AAAI members. Please note that the deadline for early regi ...
Artificial intelligence in electric power systems: a survey of the
Artificial intelligence in electric power systems: a survey of the

... July 12-16, 1992. Manuscript submitted January 28, 1992; made available for printing May 13, 1992. ...
KRR Lectures — Contents
KRR Lectures — Contents

... (conventional) computer program to solve it in ‘reasonable’ time (and with ‘reasonable’ use of other resources such as memory). Certain classes of logical problem are not only intractable but also undecidable. This means that there is no program that, given any instance of the problem, will in finit ...
Concerning the adequacy of the Turing test
Concerning the adequacy of the Turing test

The 2004 Mobile Robot Competition and Exhibition
The 2004 Mobile Robot Competition and Exhibition

... People interact with Lewis through an onboard keyboard and touchscreen interface. The main improvement over the 2003 highly successful entry (at the International Joint Conference on Artificial Intelligence in Acapulco, Mexico) was the addition of a highly fault-tolerant autonomic control framework. ...
Knowledge Acquisition and Learning by Experience
Knowledge Acquisition and Learning by Experience

... development and continued maintenance of such systems become more feasible? A basic assumption made is that knowledge-based systems need to acquire two types of capabilities: First, they need a certain level of competence, i.e. a body of knowledge that is sufficiently deep to cope with the complexit ...
Planning with Tests, Branches, and Non
Planning with Tests, Branches, and Non

... We describe the encoding for the case of atomic actions and fluents. Parameterized operators can be handled by instantiation followed by translation. Each fluent p is is represented by a pair of predicates, Kp and K¬p, that stand for the system’s knowledge state regarding the proposition. These know ...
dfki.de/~jameson/aaai04-tutorial/personalized-recommendation-tutorial-description.pdf
dfki.de/~jameson/aaai04-tutorial/personalized-recommendation-tutorial-description.pdf

... These techniques are discussed in relation to the wide variety of research and commercial applications that employ AIbased recommendation. The algorithms, applications, and interfaces presented are illustrated through a set of case studies drawn from both research and commercial systems. The target ...
Dynamically Adaptive Tutoring Systems: Bottom-Up or Top
Dynamically Adaptive Tutoring Systems: Bottom-Up or Top

word office version - European Parliament
word office version - European Parliament

... user, etc.); whereas this, in turn, questions whether the ordinary rules on liability are sufficient or whether it calls for new principles and rules to provide clarity on the legal liability of various actors concerning responsibility for the acts and omissions of robots where the cause cannot be ...
Getting More Out of the Exposed Structure in Constraint
Getting More Out of the Exposed Structure in Constraint

... the years a very rich and heterogeneous modelling language (Beldiceanu et al. 2007) with an extensive set of inference algorithms, each dedicated to a primitive of that language. These high-level primitives, termed global constraints, expose much of the combinatorial structure of a problem. They hav ...
A Classification and Survey of Preference Handling Approaches in
A Classification and Survey of Preference Handling Approaches in

... We have the following set of not-necessarily independent criteria for classifying approaches to preference: Host system Previously (during the 1990’s) default logic [Reiter,1980] was by-and-large the host system of choice, in that the majority of approaches to adding preferences added them to defau ...
A Framework for Decision-Theoretic Planning 1: Combining
A Framework for Decision-Theoretic Planning 1: Combining

... robot plans, similar to the GOLOG programming ...
A Hybrid Society of Mind on the World-Wide-Mind
A Hybrid Society of Mind on the World-Wide-Mind

... simple way for an author to make an agent, or sub-mind available for others to use remotely, without having to know exactly how the sub-mind is going to be used. This is described further is section 2 below. Once these sub-minds are online, Societies of Mind can be built by independent authors, not ...
Building a hybrid Society of Mind using components Ciarán O’Leary
Building a hybrid Society of Mind using components Ciarán O’Leary

... simple way for an author to make an agent, or sub-mind available for others to use remotely, without having to know exactly how the sub-mind is going to be used. This is described further is section 2 below. Once these sub-minds are online, Societies of Mind can be built by independent authors, not ...
A Concise Introduction To Multiagent Systems And Distributed
A Concise Introduction To Multiagent Systems And Distributed

... brachman series editor thomas dietterich series editor, a concise introduction to multiagent systems and - a concise introduction to multiagent systems and distributed artificial intelligence english 2007 isbn 1598295268 84 pages pdf 1 mbmultiagent systems is an, a concise introduction to multiagen ...
Algorithm Selection for Combinatorial Search Problems: A Survey
Algorithm Selection for Combinatorial Search Problems: A Survey

... clearly superior to previous approaches. In the majority of cases however, a new approach will improve over the current state of the art for only some problem instances. This may be because it employs a heuristic that fails for instances of a certain type or because it makes other assumptions about ...
The knowledge level - Research Showcase @ CMU
The knowledge level - Research Showcase @ CMU

Program - Association for the Advancement of Artificial Intelligence
Program - Association for the Advancement of Artificial Intelligence

... The Tenth AI Video Competition (http://aivideocompetition.org/aaai-video-competition-2016/) communicates to the world the fun of pursuing research in AI, and illustrates the impact of some of our applications. Submitters were asked to create narrated videos of 1-5 minutes in length. The submissions ...
Flexible Graphplan - Frontiers in Artificial Intelligence and
Flexible Graphplan - Frontiers in Artificial Intelligence and

... ECAI 2000. 14th European Conference on Artificial Intelligence Edited by Werner Horn Published in 2000 by IOS Press ...
Chapter 11: Artificial Intelligence
Chapter 11: Artificial Intelligence

... communicates with test subject by typewriter, without being told whether the test subject was a human or a machine. • Test: Can the human interrogator distinguish whether the test subject is human or machine? Copyright © 2012 Pearson Education, Inc. Publishing as Pearson Addison-Wesley ...
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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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