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Call for Participation - Association for the Advancement of Artificial
Call for Participation - Association for the Advancement of Artificial

... many organizations realize that to prosper in the future they must manage their most valuable asset, knowledge, more carefully. Knowledge management is concerned with issues involved with identifying, collecting, storing, evaluating, indexing, structuring, extracting, and presenting knowledge used t ...
A MANUSCRIPT OF KNOWLEDGE REPRESENTATION
A MANUSCRIPT OF KNOWLEDGE REPRESENTATION

... user preference to filter search results and improve search accuracy. Secondly, to push for knowledge based on user interests [5]. Knowledge-based systems have a computational model of some domain of interest in which symbols serve as surrogates for real world domain artifacts, such as physical obje ...
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 ...
15. managing knowledge
15. managing knowledge

... KNOWLEDGE: Technology; science; thought; the arts • INTERNAL CONSULTANTS IN THEIR AREAS • CHANGE AGENTS: Evaluating; initiating; promoting change projects ...
ITSC(S) Pre Course Material
ITSC(S) Pre Course Material

... since 1991 at the London Science Museum. With a few trivial changes, it works exactly as Babbage designed it and shows that Babbage's design ideas were correct, merely too far ahead of his time. The museum used computer-controlled machine tools to construct the necessary parts, using tolerances a go ...
Soft Computing and its Applications
Soft Computing and its Applications

... large, networked, multi-channel PC or workstationbased data acquisition and control systems. It can be implemented in hardware, software, or a combination of both. FL provides a simple way to arrive at a definite conclusion based upon vague, ambiguous, imprecise, noisy, or missing input information. ...
Reports on the Twenty-First National Conference on Artificial
Reports on the Twenty-First National Conference on Artificial

... agents with higher-level cognitive functions that enable them to reason, act, and perceive in changing, incompletely known, and unpredictable environments. Such robots must, for example, be able to reason about goals, actions, when to perceive and what to look for, the cognitive states of other agen ...
Reports on the Twenty-First National Conference on Artificial
Reports on the Twenty-First National Conference on Artificial

... agents with higher-level cognitive functions that enable them to reason, act, and perceive in changing, incompletely known, and unpredictable environments. Such robots must, for example, be able to reason about goals, actions, when to perceive and what to look for, the cognitive states of other agen ...
07_Artificial_Intelligence-ProblemSolvingMethods
07_Artificial_Intelligence-ProblemSolvingMethods

... • The main elements of a specification in the PSM framework are: – the task – specifies the goals that should be solved in order to solve a given problem. A second part of a task specification is the definition of requirements on domain knowledge; – the problem-solving method – describes an reasonin ...
Systems Thinking in Complex Responsive Processes and Systems
Systems Thinking in Complex Responsive Processes and Systems

... Systems thinking highlights a domain of objects it believes is neglected – systems. But systems remain objects nonetheless, entities to be identified and reflected from the outside. (Hämäläinen and Saarinen 2006, pp. 17–18) Griffin (2002) sees that one of the strengths of Senge’s five disciplines an ...
Document
Document

... Left: The Life and Opinions of Tristram Shandy, Gentleman (Laurence Sterne, 1759-69) Right: “The Bride Stripped Bare by Her Bachelors, Even” (Marcel Duchamp, 1915-23) ...
From: AAAI Technical Report S-9 - . Compilation copyright © 199
From: AAAI Technical Report S-9 - . Compilation copyright © 199

... Virtually every application of artificial intelligence requires the use of context. At the very least, the application domain itself provides an important context for reasoning, and AI applications can be more effective and efficient if they exploit this contextual knowledge. Often, the application ...
Chapter 12
Chapter 12

... models may not be sufficient. Additional support is needed, such as that provided by rule-base expert systems (ES) to substitute for human expertise by supplying knowledge. • Knowledge-based systems (KBS) Technologies that use qualitative knowledge rather than mathematical models to provide the need ...
Intelligence inWikipedia - Association for the Advancement of
Intelligence inWikipedia - Association for the Advancement of

... large numbers of edits [4], we instead want to enable contributions by the long tail of users not yet contributing [23]. In other words, we believe that pairing IIE with CCC will be most effective if it encourages contributions by people who had not otherwise planned to contribute. The next subsecti ...
Information Technology and Knowledge Management
Information Technology and Knowledge Management

... For example, if we consider sustainable development, the role of subsystem Intelligent is prediction based on scientific knowledge. To achieve this task, this subsystem asks the lower system to develop a mathematical model, and then the subsystem Involvement of this lower system will collect necessa ...
A88-1018
A88-1018

... words or grammatical lapses, but are also more apt to derive erroneous interpretations, fail to detect inconsistencies between what is said and how it is interpreted, and often cannot produce any results when the text presents unusual or unexpected information. Integration of these two approaches ca ...
School of Computer Science Head of School Taught Programmes
School of Computer Science Head of School Taught Programmes

... Semester: ...
Artificial Participation: An Interview with Warren Sack
Artificial Participation: An Interview with Warren Sack

... Sophists, that they are simply enacting a method, without conscience, without stakes? That they are just being mechanical? SACK: Yes. In certain circumstances there is ethical good in that because what is built is a computational, critical mirror. These Sophistic, computer technologies of (dis)simul ...
Intelligence in Wikipedia
Intelligence in Wikipedia

... extremely high precision, in most cases precision is well below that of humans. Thus, it is clear that a fully automated process for adding new infobox entries to Wikipedia is untenable. Instead, IWP aims to amplify human effort towards this task via a user interface. Figure 3 shows our first mockup ...
07_Intelligent_Systems-ProblemSolvingMethods - Teaching-WIKI
07_Intelligent_Systems-ProblemSolvingMethods - Teaching-WIKI

... • The main elements of a specification in the PSM framework are: – the task – specifies the goals that should be solved in order to solve a given problem. A second part of a task specification is the definition of requirements on domain knowledge; – the problem-solving method – describes an reasonin ...
Toward Interactive Classrooms
Toward Interactive Classrooms

... Intelligent agents are software programs that work in the background without direct human intervention to carry out specific, repetitive, and predictable tasks for an individual user, business process, or software application. ...
11 Mutation and analogy to support creativity in computer
11 Mutation and analogy to support creativity in computer

... potentially contain knowledge appropriate for the integration of that new variable. Analogical reasoning can be considered in two major steps: finding an analogous situation and using the knowledge from the previous situation in the new situation. The techniques derived from research in artificial i ...
common sense - Courses - University of California, Berkeley
common sense - Courses - University of California, Berkeley

... that most people can do, often not even knowing they're doing them. Thus, when you hear a sentence like: "Fred told the waiter he wanted some chips,“ you will infer all sorts of things. Here are just a few of these… The word "he" means Fred. That is, it's Fred who wants the chips, not the waiter. Th ...
CS 561a: Introduction to Artificial Intelligence
CS 561a: Introduction to Artificial Intelligence

... Cognitive skills (NLP, AR, knowledge representation, ML, etc.) ...
Soft Computing: Constituent and Applications of Soft
Soft Computing: Constituent and Applications of Soft

... In the soft computing framework, the basic idea which has been developed so far has consisted in supposing that there is a set of resolving agents which are basically algorithms for solving combinatorial optimization problems, and to execute them cooperatively by means of a coordinating agent to sol ...
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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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