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Journal of Sciences mMES: A Mobile Medical Expert System for
Journal of Sciences mMES: A Mobile Medical Expert System for

... professionals, conduct and/or collaborates with others to conduct research and provide outreach advocacy services for all categories of persons in Ghana, in a most cost-effective manner while ensuring value-for-money and optimal satisfaction of its patients and other stakeholders [3]. The vision of ...
The Format of the IJOPCM, first submission
The Format of the IJOPCM, first submission

... coefficient were applied in order to compare the prediction ability of the Timedelay single layer models. The combination of 5111 showed a very high correlation between the training and validation data, establishing that the developed models are effective in predicting the shelf life of burfi. Key ...
pdf (paper) - Pascal Hitzler
pdf (paper) - Pascal Hitzler

... revised in incremental standardization processes, e.g. through the World Wide Web Consortium (W3C). Such revisions of languages are driven both by theoretical investigations and by applicability concerns. The current situation regarding ontology languages is far from stable: While main paradigms see ...
Chapter 1: Management Support Systems: An Overview
Chapter 1: Management Support Systems: An Overview

... • In an unstructured problem, human intuition is often the basis for decision making. © 2005 Prentice Hall, Decision Support Systems and Intelligent Systems, 7th Edition, Turban, Aronson, and Liang ...
MS PowerPoint 97 format - KDD
MS PowerPoint 97 format - KDD

... Heuristic Search of Search Space H – Define H: elements denote possible structures, adjacency relation denotes transformation (e.g., arc addition, deletion, reversal) – Traverse this space looking for high-scoring structures ...
SIGEVOlution - Volume 6 Issue 3-4
SIGEVOlution - Volume 6 Issue 3-4

... This issue ends volume six and we are working to catch up with the delay, hopefully in the next 6-12 months. But to succeed in our endeavor, we need your help! We need interesting articles that can show all the amazing stuff that evolutionary computation can do, the awesome applications we developed ...
Artificial Intelligence
Artificial Intelligence

... solve something, we check various ways to solve it, we check different combinations, and many other things to solve different problems. All this thinking, this memory manipulation capability, this numerical processing ability and a lot of other things add to ones intelligence. All of you have experi ...
On Creative Self-Driving Cars: Hire the Computational Logicians, Fast
On Creative Self-Driving Cars: Hire the Computational Logicians, Fast

... to build and deploy self-driving cars without hiring a single logician, whether or not of the computational variety. However, for reasons we explain herein, a logician-less approach to engineering self-driving automobiles (and, for that matter, self-moving vehicles of any consequence, in general) is ...
Easy Problems are Sometimes Hard
Easy Problems are Sometimes Hard

... determining the satisfiability of propositional formulae, there are also regions in which problems are usually easy but sometimes extraordinarily hard. The same effect appears to have been observed for graph colouring [8]. Random 3-SAT (this and other problem classes are described in Section 2) unde ...
September 11, 2012 - University of Alberta
September 11, 2012 - University of Alberta

Does machine learning really work?
Does machine learning really work?

... occur in many problem domains and data sets. For example, many banks have time-series data indicating which credit card transactions were later found to be fraudulent. Many businesses have customer databases that indicate which customers were later found to purchase certain items. Universities have ...
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vs. - WordPress.com

... through sensors and acting upon that environment through actuators (tools used for actions). ...
Artificial Intelligence and Expert Systems
Artificial Intelligence and Expert Systems

... General-purpose Problem Solver (GPS) A procedure developed by Newell and Simon [1973] from their Logic Theory Machine – ...
Convergence of Software Science and Computational Intelligence:
Convergence of Software Science and Computational Intelligence:

... knowledge were reported and then disappeared over time. For example, there are tons of empirical knowledge on software engineering published each year in the last decades. However, those that would be included in a textbook on software engineering theories as proven and general truth, rather than sp ...
Curriculum vitae - Department of Computer Science
Curriculum vitae - Department of Computer Science

... Invitation only workshops 1. Workshop on Belief Revision and Argumentation, to be held in Madeira, January 2015. 2. Workshop on Belief Revision and Argumentation, Madeira, January 2013. 3. Workshop on Information processing, rational beliefs and social interaction, Banff International Research Stati ...
Multi-Agent Case-Based Diagnosis in the Aircraft Domain
Multi-Agent Case-Based Diagnosis in the Aircraft Domain

... can take over, while our approach is more focused in applying software engineering strategies for decomposing problems into sub-problems resulting in a distributed knowledge-based system. Zouhaire and his colleagues[17] developed a multi-agent system using dynamic case-based reasoning that learns fr ...
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Hypernetworks: A Molecular Evolutionary Architecture for Cognitive

Recent methodological trends in operations research and
Recent methodological trends in operations research and

I-02-04-LaDuke-Knowledge 65-74 (18 Feb 08) SP FINAL
I-02-04-LaDuke-Knowledge 65-74 (18 Feb 08) SP FINAL

... application and the result is quite simple: Intelligence - Knowledge that is stored, and can be recalled, at the individual, group, or societal level. Intelligence exists within the individual, within knowledge working groups, and within society as a whole. And intelligence is knowledge stored at an ...
Fads and Fallacies about Logic
Fads and Fallacies about Logic

Conceptual Blending and the Quest for the Holy Creative Process
Conceptual Blending and the Quest for the Holy Creative Process

... could see any cognitive process as creative w.r.t. its output, once it can be considered a creation (a perception, a concept, an idea) that wasn’t there before and has some reason to exist, i.e., it fulfils the demands of novelty and usefulness. To escape from this extreme, we must point out that th ...
Unit 1: Introduction to Artificial Intelligence
Unit 1: Introduction to Artificial Intelligence

... the first men to fly on a biplane with an engine; their first short flight takes place on December 17th in USA, Kitty Hawk (North Carolina), and is considered as the origin of the aviation. Prior to that only animals were able to fly by using their wings. ...
Does the Turing Test Demonstrate Intelligence or Not?
Does the Turing Test Demonstrate Intelligence or Not?

... each possible interrogator’s input in each possible conversational context of up to, say, one hour long. (These responses might be modeled on those that Block’s fictional Aunt Bertha would have given.) Such a tree would undeniably be large, but processing in it would be conceptually straightforward. ...
Reasoned Use of Expertise in Argumentation
Reasoned Use of Expertise in Argumentation

... argument are fallacious? It should not. For taking into account the intelligent and informed opinion of a legitimate expert on a question that one needs to act upon may be reasonable in argument, if no better or more direct evidence is available when the decision must be made.6 This approach seems p ...
Document
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... isolated words spoken by a known speaker. 1.1.2. The Decade of 'Ivory-towerp Research: 1965 to 1 9 7 5 During this period the research work was subdivided into three major fields. These were first, computer vision (Winston, 1975)' secondly, understanding natural language (Winograd, 1972) and thirdly ...
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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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