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Author`s personal copy
Author`s personal copy

... nicely dubbed the ‘‘classic sandwich model’’ by Susan Hurley (1998). Many control architectures are built in this way. Since the 1980s there have been many attempts to challenge this traditional picture particularly in the field of robotics (e.g., Brooks, 1991) but also from a more psychological and ...
MSc_2011 - University of Alberta
MSc_2011 - University of Alberta

...  Quest code organization, execution location, inter and intra-component interaction, and programming languages Cindy Wong ...
Fromkin Rodman Hyams 403
Fromkin Rodman Hyams 403

... • Top-down reasoning is powerful, but it can be dangerous if it is not accompanied by bottom-up reasoning. • For example, Otto Jesperson assumed that men were better thinkers than women. • He conducted an experiment in which men and women read a story and were given a quiz. ...
Intelligent Systems for Decision Support How a Neural Network
Intelligent Systems for Decision Support How a Neural Network

... flood conditions. The system provides information that helps emergency responders and county residents prepare for floods and enables emergency managers to make decisions more quickly. ...
Robin Douglas Burke Associate Professor
Robin Douglas Burke Associate Professor

... Advanced Software Development with Web Applications.* Visual Basic design and development with emphasis on component technology. Spring 2001. E-Commerce – Technical Perspective.* Technical foundations of electronic commerce. Spring, Fall 2001. Java for Business.* Introductory Java programming with b ...
PUFF: An Expert System for Interpretation of
PUFF: An Expert System for Interpretation of

... The PUFF research has demonstrated that if the task, domain, and researchers are carefully matched, then the application of existing techniques can result in a system which successfully performs a moderately complicated task of medical diagnosis. Success of the program can be measured not only in te ...
What is AI?
What is AI?

... Cognitive processes manipulate representation to build new representations that are used to generate actions. ...
Advanced Research into AI Ising Computer (PDF format, 212KB)
Advanced Research into AI Ising Computer (PDF format, 212KB)

... than can be achieved by previous systems based on superconductors, it is adequate for use in the optimization of actual social systems because it is able to solve problems in practice. Moreover, the approach described here of using a semiconductor is significant in engineering terms for reasons that ...
AAAI-08 / IAAI-08 - Association for the Advancement of Artificial
AAAI-08 / IAAI-08 - Association for the Advancement of Artificial

... Eric Horvitz is a principal researcher and research area manager at Microsoft Research. He has had a lifelong interest in perception, reasoning, and action under uncertainty. He has pursued insights about intelligence via studies of inference and decision making under limited and varying computation ...
fromkin-9-computers
fromkin-9-computers

... Top-down reasoning is powerful, but it can be dangerous if it is not accompanied by bottom-up reasoning. For example, Otto Jesperson assumed that men were better thinkers than women. He conducted an experiment in which men and women read a story and were given a quiz. ...
Lessons from a Restricted Turing Test The Turing Test
Lessons from a Restricted Turing Test The Turing Test

... To determine the prize-winner, an ingenious scoring mechanism was devised. The Turing test involves a single binary decision, which is either right or wrong. But to determine a winner, the contestants had to be ranked, so each judge was required to place all of the agents in order from the apparentl ...
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 ...
INTELLIGENT DECISION-SUPPORT SYSTEM - Meta
INTELLIGENT DECISION-SUPPORT SYSTEM - Meta

... enable to copy with uncertain and incomplete data, qualitative reasoning, constrains satisfactions an so on. Its flexibility, modularity and reusing depend strongly on the type of ...
decisions making in design process – examples of artificial
decisions making in design process – examples of artificial

... solutions for technical systems. Various decisions have to be made during design process in order to choose appropriate parameters, material and other data. Decisions made in design process connect other operations and activities in the structure of process and enable its continuum. Automatism of th ...
document
document

... Note that a play or a movie has a script for the actors to follow. The script in Artificial Intelligence is the same, but it is much simpler. It is a “mundane ...
A Survey of Intelligent Tutoring Systems and the Methods Used for Effective Tutoring
A Survey of Intelligent Tutoring Systems and the Methods Used for Effective Tutoring

... then tell the student what was incorrect. The only other form of interaction between the student and the tutor was when the tutor told the student how to work through the problem. The telling style of teaching is similar to the conventional lecturing style of teaching. The student is given informati ...
KBS - teachmath1729
KBS - teachmath1729

... techniques nor clever search algorithms but domain dependent real-world knowledge - Real-world problems do not have well-defined solutions - Expertise not laid down in algorithms but are domain dependent rules-of-thumb or heuristics (cause-and-effect) - KBS allow this knowledge to be represented in ...
Principles of Rule-Based Expert Systems
Principles of Rule-Based Expert Systems

... familiarize readers with the architecture and construction of one important class of expert systems, called rulebased systems. In this overview, many programs and issues are necessarily omitted, but we attempt to provide a ...
OpenProblems-2011-01
OpenProblems-2011-01

... In the reductionist unification approach, reality is an information-processing phenomenon. “We would then say: whatever exists can be digitalized. Being is computation.” (ibid) An alternative to a unified theory of information would be the networked structure of different information concepts which ...
Mis – MASTER STUDENTS- Presentation 10
Mis – MASTER STUDENTS- Presentation 10

... • Describe the different types of business intelligence users at Colgate-Palmolive. • Describe the “people” issues that were affecting Colgate’s ability to use business intelligence. • What people, organization, and technology factors had to be addressed in providing business intelligence capabiliti ...
Searching Social Networks
Searching Social Networks

... information may only be accessed by asking the right people. The challenge of finding relevant information then reduces to finding the right people whom we may ask a specific question and who will answer that question for us. The right people are those who have the desired information or expertise. ...
Introduction to Multi-Agent Systems
Introduction to Multi-Agent Systems

... environment. Personal agents, or information agents, which are not mainly supposed to collectively work to solve problems, will certainly have much to gain if interacting with other agents and soon, with the wide spread of agent technology, will not even be able achieve their tasks in isolation. The ...
Advances in conversational case-based reasoning
Advances in conversational case-based reasoning

... Kquestion, answerL pairs. A case’s problem description is typically represented in a similar way, although other approaches have been investigated. In taxonomic CCBR, for example, relevant domain features (e.g., test results) are arranged in feature taxonomies in which levels of abstraction are expl ...
1950 – birth of AI, Turing test - Department of Intelligent Systems
1950 – birth of AI, Turing test - Department of Intelligent Systems

... Donald was 1 month per year in Ivan’s room at JSI. Now at JSI Turing’s room, Donald Michie’s room Sobotna priloga Dela: Let this be in memory of Donald Michie as Turing’s contemporary and our dear colleague, and the extreme genius Alan Turing that marked the lives of every human in the world as hard ...
Emotion and Robotics
Emotion and Robotics

... –  use emotions in simulated-agent plans (to simulate human reasoning) (Gratch & Marsella), –  communication and joint attention (Breazeal, MIT) –  robot acceptation (Heerink, Telin) –  Interactive robot learning •  Entertainment –  Computer games such as the Sims (EA), Aibo Robot (Sony). ...
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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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