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COMP219 Lec4 search - Computer Science Intranet
COMP219 Lec4 search - Computer Science Intranet

...  Optimality: does it always find a least-cost solution?  Time and space complexity: are measured in terms of ◦ b: maximum branching factor of the search tree ◦ d: depth of the least-cost solution ◦ m: maximum depth of the state space (may be infinite) ...
Artificial Intelligence
Artificial Intelligence

... you can not tell which entity is a computer. • Does this mean the computer is Intelligent? ...
The History of Artificial Intelligence
The History of Artificial Intelligence

... amok, and tried to wipe out the human race. However, as is usually the case with words, the truth of the matter is a little more convoluted. In the days when Czechoslovakia was a feudal society, "robota" referred to the two or three days of the week that peasants were obliged to leave their own fiel ...
Slides
Slides

... • Karel Capek coined the term “robot” (1921) • Isaac Asimov wrote many sf books and essays (I, Robot (1950) introduced the Laws of Robotics – if you haven’t read it, you should!) ...
The Wiley-Blackwell Journal Expert Systems: The Journal of
The Wiley-Blackwell Journal Expert Systems: The Journal of

... the techniques and approaches are somewhat similar, the two communities often tackle problems from rather different perspectives. Among these research areas, Human Behaviour Analysis (HBA) has recently become a very popular topic in computer science, because of its relevance to surveillance. For ins ...
Problem - Cognitive Tutor Authoring Tools
Problem - Cognitive Tutor Authoring Tools

... Keywords: Intelligent tutoring systems, authoring tools, rapid development, cognitive modeling, cognitive tutors, human-computer interaction, empirical methods to guide system design Abstract. We are developing a suite of Cognitive Tutor Authoring Tools (CTAT) intended to make tutor development both ...
An Integrated Approach to Discovery in Complex
An Integrated Approach to Discovery in Complex

... in MVE systems like AVS [35] (Application Visualization System), and the toolkit philosophy of the Visualization ToolKit [28]. But, in cogito, the user does not choose these elements in isolation. Rather, he or she chooses between whole visual representations, each of which comprise particular eleme ...
RAIR Lab Visit, Ken Gertz 010604
RAIR Lab Visit, Ken Gertz 010604

ijcai 2015 - Department of Intelligent Systems
ijcai 2015 - Department of Intelligent Systems

... simulates a 13-year-old Ukrainian boy, is said to have passed the Turing test at an event organised by the University of Reading. •The test investigates whether people can detect if they are talking to machines or humans. •The experiment is based on Alan Turing's question-andanswer game Can Machines ...
Takeshi ITO Laboratory(PDF:883 KB)
Takeshi ITO Laboratory(PDF:883 KB)

... advanced human cognitive activities. For example, the laboratory is attempting to clarify such questions as how do human solve difficult problems, what is human intuitive knowledge, and what thought processes do human follow in playing games (see Figure 2). To answer these questions, the laboratory ...
Int sys 1 - Intelligent Systems
Int sys 1 - Intelligent Systems

... pattern matching, abstraction, translation • Tools – problem solvers, game playing, modelling, robotic guidance • Technologies – neural networks, knowledge acquisition, expert systems, planning, dialogue generators The above are integrated into General purpose applications ...
Knowledge Representation - Computer and Information Science
Knowledge Representation - Computer and Information Science

... Knowledge Representation • Question: How do we represent knowledge in a form that a computer can use? Remember -> knowledge != data • Knowledge Representation (KR) focuses on designing specific mechanisms for representing knowledge in ways that are useful for AI techniques. • Knowledge about a domai ...
AWESOME-Dissertation Environment
AWESOME-Dissertation Environment

Decision support system
Decision support system

Power Point Slides of Chapter 8
Power Point Slides of Chapter 8

...  The neurons in an ANN receive information from other neurons or from external sources, transform the information, and pass it on to other neurons or as external outputs. ...
Introduction to Artificial Intelligence
Introduction to Artificial Intelligence

... Provides the most general view of AI because it includes: ...
applications of artificial intelligence in structural engineering a.k.l
applications of artificial intelligence in structural engineering a.k.l

... shell. Many such shells are commercially available out of which Rule Master was selected for developing an expert system package for concrete mix design based on the procedure outlined in IS: 10262 - 1982 known as Indian Standard (IS) code method. This facility was found very useful particularly for ...
Applying Description Logic to Product Behavioral Design within Advanced CAD Systems
Applying Description Logic to Product Behavioral Design within Advanced CAD Systems

... in order to test this coherence. For this purpose, we first define a mapping from EXPRESS-G into the ALCN I description logic. An example is then given for product maintainability analysis. keywords: CAD, Integrated Design, Product Modelling, Description Logic Application ...
Attention -
Attention -

... Resource management and processing handtuned for specific tasks and environments Major reduction in complexity (compared to realworld tasks and environments) • End up with limited and closed models of the real-world ...
Decision Support Systems
Decision Support Systems

... user or a process that fulfills a stated need or activity • Uses built-in and learned knowledge base about a person or process to make decisions and accomplish tasks ...
IAI – Exercise Sheet 2
IAI – Exercise Sheet 2

... On page 2 of Russell & Norvig (2003) they list a number of definitions of AI from other textbooks and attempt to organise them along the two dimensions “human vs. ideal” and “thought vs. action” to give four categories: Systems that think like humans ...
Intelligent User Interfaces for Ubiquitous Computing
Intelligent User Interfaces for Ubiquitous Computing

... 1999). Its principle is to develop an application iteratively with evaluations in every cycle. Human-centered design also is regarded as the best approach when design goals are hard to formalize in technical terms. There have been multiple approaches for system design processes that involve the user ...
Artificial Intelligence - Computer Science Department
Artificial Intelligence - Computer Science Department

... using AI techniques; to know the relation between AI and other areas of computer science. – To have knowledge of generic problem-solving methods in AI. – To understand the role of knowledge in present IA; to know the basic techniques of knowledge representation and their use. – To be able to apply b ...
An Auxiliary System for Medical Diagnosis Based on Bayesian
An Auxiliary System for Medical Diagnosis Based on Bayesian

... The diagnostic system essentially provides a graphical interface for domain knowledge introduction and a Web page (input/output) interface to interact with the expert using the system for diagnosing. Two interaction phases are supported: (1)- design of an application in a particular domain; (2)- rou ...
Text Benno Premsela Lecture by Benjamin Bratton November 2015
Text Benno Premsela Lecture by Benjamin Bratton November 2015

... It is better to examine how identification works from our side of the conversation. It is clearly much easier to make a robot that a human believes to have emotions (and for which, in turn, a human has emotions, positive or negative) than it is to make a robot that actually has those emotions. The h ...
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Ecological interface design

Ecological interface design (EID) is an approach to interface design that was introduced specifically for complex sociotechnical, real-time, and dynamic systems. It has been applied in a variety of domains including process control (e.g. nuclear power plants, petrochemical plants), aviation, and medicine.EID differs from some interface design methodologies like User-Centered Design (UCD) in that the focus of the analysis is on the work domain or environment, rather than on the end user or a specific task. The goal of EID is to make constraints and complex relationships in the work environment perceptually evident (e.g. visible, audible) to the user. This allows more of users' cognitive resources to be devoted to higher cognitive processes such as problem solving and decision making. EID is based on two key concepts from cognitive engineering research: the Abstraction Hierarchy (AH) and the Skills, Rules, Knowledge (SRK) framework.By reducing mental workload and supporting knowledge-based reasoning, EID aims to improve user performance and overall system reliability for both anticipated and unanticipated events in a complex system.
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