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Applications of Automated Reasoning Nr. 9/2007 Arbeitsberichte
Applications of Automated Reasoning Nr. 9/2007 Arbeitsberichte

... Automated theorem proving systems have made increasing progress during the last decades. There was even a prominent open problem, the Robbins problem, which has puzzled logicians since 1930, which was solved by the Automated Reasoner EQP for first order equational logic, developed at Argonne Nationa ...
ICT619 Intelligent Systems
ICT619 Intelligent Systems

...  The WHEN NEEDED method attached to the attribute Evaluation is used to establish its value.  The inference engine executes this method when it needs to determine the value of Evaluation.  If based on the set of rules provided for credit evaluation, the inference engine cannot establish the value ...
Siri Is My Client: A First Look at Artificial Intelligence and Legal Issues
Siri Is My Client: A First Look at Artificial Intelligence and Legal Issues

... a work must be original to the author.”27 Clifford extended this reasoning, explaining that a machine that is programmed to create creativity on its own does not warrant copyright protection because “no one derives rules for the computer to control its creativity; rather, using its learning algori ...
OpenProblems-2011-01-15
OpenProblems-2011-01-15

... information present a complex body of knowledge that accommodates different views of information through fields of natural, social and computer science. Or, as [Floridi 2005] formulates it, “Information is such a powerful and elusive concept that it can be associated with several explanations, depe ...
WSS - cs.uregina.ca - University of Regina
WSS - cs.uregina.ca - University of Regina

... various support system. • Study of domain independent theories, models, and techniques of WSS as a separate field on its own. • Study of concrete models of WSS specific domains, such as decision support, research support, retrieval support. • Design and implementation of variable WSS. ...
Expert system methodologies and applications—a decade review
Expert system methodologies and applications—a decade review

... the scope of 166 articles from 78 academic journals (retrieved from five online database) of ES applications, this paper surveys and classifies ES methodologies using the following eleven categories: rule-based systems, knowledge-based systems, neural networks, fuzzy ESs, objectoriented methodology, ...
OpenProblems-2011-01-22
OpenProblems-2011-01-22

... nowadays concepts of information present a complex body of knowledge that accommodates different views of information through fields of natural, social and computer science. Or, as [Floridi 2005] formulates it, “Information is such a powerful and elusive concept that it can be associated with severa ...
Different roles and mutual dependencies of data
Different roles and mutual dependencies of data

... In order to develop successful methods for this type of integration, a characterization of the things to integrate is needed: How should data, information, and knowledge be characterized so that their differences, and other relationships relevant for systems integration, are identified? Unfortunatel ...
artificial intelligence (AI)
artificial intelligence (AI)

... Alfred North Whitehead and Bertrand Russell. In one instance, a proof devised by the program was more elegant ... (100 of 8538 words) ...
Expert Systems - University of Southern California
Expert Systems - University of Southern California

... As noted above, people appeared to use rules to reason to conclusions, and experts were seen as supplying rules that would be used to guide others through task solution. As a result, most of the so-called “expert systems” probably were “rule – based systems.” Researchers had seen that this type of r ...
Eleanor Dare - Department of Computing
Eleanor Dare - Department of Computing

... hypotheses – a model which is based on an exclusively rational idea of ‘man the scientist’. In many ways this is, (at least at first glance) a socially inclusive, democratic methodology, but it takes no account, writes Henriques, "of the ‘experimenter effect’”, nor does psychological practice to any ...
OpenProblems-2011-01-17
OpenProblems-2011-01-17

... information present a complex body of knowledge that accommodates different views of information through fields of natural, social and computer science. Or, as [Floridi 2005] formulates it, “Information is such a powerful and elusive concept that it can be associated with several explanations, depe ...
Document
Document

... • The algorithms used in the products of the 1990s were known earlier but they were too complex to be implemented effectively with the digital technology of earlier times. • When computer hardware became cheap enough for good OCR, it also became cheap enough for PCs, the Internet, and direct bank tr ...
Bayesian Ontologies in AI Systems - Department of Information and
Bayesian Ontologies in AI Systems - Department of Information and

... describing a given domain. One of the major drivers for the popularity of that concept was the realization that many of the most challenging problems in the information technology field (e.g. interoperability among systems) cannot not be solved without considering the semantics intrinsically embedde ...
Case Study for Information Management (資訊管理個案)
Case Study for Information Management (資訊管理個案)

... • Used in medicine, science, and business for problems in pattern classification, prediction, financial analysis, and control and optimization ...
AAAI 2016 Executive Council Candidates
AAAI 2016 Executive Council Candidates

... between  researchers  from  different  subareas.  Very  often  researchers  have  important   knowledge  and  experience  needed  by  colleagues  but  the  lack  of  communication  prevents  them   from  collaborating.  For  example,  my  colle ...
Case Study for Information Management (資訊管理個案)
Case Study for Information Management (資訊管理個案)

... • Used in medicine, science, and business for problems in pattern classification, prediction, financial analysis, and control and optimization ...
Machine learning for information retrieval: Neural networks
Machine learning for information retrieval: Neural networks

... collection, but only for the same initial query. The second document-oriented strategy collected relevancefeedback data for a specific document from a set of queries (Maron & Kuhns, 1960). The parameters derived from these data can be used only for the same document, but for all queries submitted to ...
OpenProblems-2011-01-21
OpenProblems-2011-01-21

... nowadays concepts of information present a complex body of knowledge that accommodates different views of information through fields of natural, social and computer science. Or, as [Floridi 2005] formulates it, “Information is such a powerful and elusive concept that it can be associated with severa ...
AAAI Fall Symposium Series - Association for the Advancement of
AAAI Fall Symposium Series - Association for the Advancement of

... representation of skills of mathematics, physics and engineering towards the design of physical artifacts and processes. The objective of the symposium is to bring together researchers from a diverse set of areas with a common interest in design from physical principles. These areas include, among o ...
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 ...
Dr. Eick`s Introduction to AI
Dr. Eick`s Introduction to AI

... • Physical Symbol System Hypothesis (PSSH): A physical symbol system has the sufficient and necessary means for general, intelligent actions. Remarks PSSH: ...
Incorporating the results of co-word analyses to increase search
Incorporating the results of co-word analyses to increase search

... Extending co-word analysis to Information Retrieval Usually, researchers use co-word techniques to analyze papers in order to identify keywords that describe their research content and link papers by the degree of cooccurrence of these keywords to produce a ‘map index’ of a specialty (King, 1987). ...
Chapter 1: Introduction to Expert Systems
Chapter 1: Introduction to Expert Systems

... • Both human experts and expert systems must be able to deal with uncertainty. • It is easier to program expert systems with shallow knowledge than with deep knowledge. • Shallow knowledge – based on empirical and heuristic knowledge. • Deep knowledge – based on basic structure, function, and behavi ...
Verbal Plan Explanations for Hybrid Planning
Verbal Plan Explanations for Hybrid Planning

... plans are automatically executed by systems such as autonomous robots. In this context, it is not necessary to make these automated systems understand what they are actually doing during execution and why they are doing that. In other words, these systems do not need to understand the underlying sem ...
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Human–computer interaction

Human-computer interaction (HCI) researches the design and use of computer technology, focusing particularly on the interfaces between people (users) and computers. Researchers in the field of HCI both observe the ways in which humans interact with computers and design technologies that let humans interact with computers in novel ways.As a field of research, Human-Computer Interaction is situated at the intersection of computer science, behavioral sciences, design, media studies, and several other fields of study. The term was popularized by Stuart K. Card and Allen Newell of Carnegie Mellon University and Thomas P. Moran of IBM Research in their seminal 1983 book, The Psychology of Human-Computer Interaction, although the authors first used the term in 1980 and the first known use was in 1975. The term connotes that, unlike other tools with only limited uses (such as a hammer, useful for driving nails, but not much else), a computer has many uses and this takes place as an open-ended dialog between the user and the computer. The notion of dialog likens human-computer interaction to human-to-human interaction, an analogy the discussion of which is crucial to theoretical considerations in the field.
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