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CS 415 – A.I.
CS 415 – A.I.

TechGuide 4
TechGuide 4

... • Difficulties of Using Expert Systems – Transferring domain expertise from human experts to the expert system can be difficult because people cannot always explain what they know – Even if the domain experts can explain their entire reasoning process, automating that process may not be possible – I ...
Teachable agents 2
Teachable agents 2

... “Expertise, Motivation, and Teaching in Learning by Teaching Systems, International Journal of Artificial Intelligence in Education 14: 67-106. • Task domain: Boolean Algebra • Reciprocal: user decides who will solve problem • Communication: Editing agent’s knowledge • Evaluation: Yes ...
TATIANA A. GAVRILOVA
TATIANA A. GAVRILOVA

... Fulbright Scholarship Award, University of Pittsburgh, 2005 ITHEA prize for Outstanding Achievements in the field of Information Theories and Applications, 2003 Senior Fulbright Scholar in Penn State University, USA, 1998 Project leader of several research and development international and national ...
Introduction: What is AI?
Introduction: What is AI?

AI and Education - Grand Challenges
AI and Education - Grand Challenges

... systems that are founded on cognitive theories and there has been real progress in creating tools that make it easier to build upon components of previous systems. This is important in giving a foundation for exploration of new challenges and for moving towards real world deployment. The exemplars o ...
CSC 480: Artificial Intelligence - An
CSC 480: Artificial Intelligence - An

... to construct theories of how the human mind works ...
Junior CFP - IEEE SMC 2017
Junior CFP - IEEE SMC 2017

... one of the most modern conference facility in North America, with majestic mountain view. On the SMC 2017 flagship conference of the IEEE Systems, Man, and Cybernetics Society the SMC Junior 2017 will be organized again this year. It provides an international forum for student and young researchers ...
Cognitive architectures
Cognitive architectures

... symbolic data-structure, reasoned about, and then used to plan and act in the world. The approach has also been labelled by many as the information processing (or symbol manipulation) approach to cognition. Cognitivism has been the predominant approach and to date it is still prevalent. In cognitivi ...
Preparation of Papers in a Two-Column Format for the 21st Annual
Preparation of Papers in a Two-Column Format for the 21st Annual

... for a particular user according to his goals. This can be achieved by applying the notation of semantic networks (see Fig. 1): each node is a unit of study (including the characteristics of the type of material, its being wanted, importance, complexity, developed competencies as well as storing refe ...
Fifty Years of AI: From Symbols to Embodiment
Fifty Years of AI: From Symbols to Embodiment

... difference between finding a solution or getting swamped in irrelevant details. A host of new research questions was born and explored through an amazing variety of frameworks for knowledge representation and knowledge processing. Many ideas from logic could be pulled into AI and AI gave new challen ...
sv-lncs - United International College
sv-lncs - United International College

... response set. The shortcoming of this system is that it cannot adequately answer all of the queries given to it as Russesl et al. in [2] contends that ALICEBOTs have no cognitive theory behind them, instead they blindly rely on canned response to matched queries. Alicebots are also able to expand th ...
10-2 - UCSB Computer Science
10-2 - UCSB Computer Science

Knowledge
Knowledge

... • List names and addresses of clients with a year to date balance of less than $50,000 who are headquartered in the midwest SELECT Name, Address FROM Client WHERE Region = “Midwest” AND YTD_Ord < 50000 ...
Towards Computational Models of Artificial Cognitive Systems that
Towards Computational Models of Artificial Cognitive Systems that

... A new trend: Mirror neurons – a mechanism for “mind reading” of other subjects Mirror neurons: are active when a subject performs a specific action as well as when the subject observes an other or a similar subject performing a similar action (Rizzolatti, 199x) “the discovery of mirror neurons in t ...
Towards Computational Models of Artificial Cognitive Systems that
Towards Computational Models of Artificial Cognitive Systems that

... A new trend: Mirror neurons – a mechanism for “mind reading” of other subjects Mirror neurons: are active when a subject performs a specific action as well as when the subject observes an other or a similar subject performing a similar action (Rizzolatti, 199x) “the discovery of mirror neurons in t ...
Solving Everyday Physical Reasoning Problems
Solving Everyday Physical Reasoning Problems

... To retrieve a relevant case, the system starts by using MAC/FAC on the problem sketch with low level visual properties removed, i.e. glyph orientations and relative sizes. For outcome problems the first retrieval is used. For DQA questions, the retrieval must also contain candidate inferences that c ...
Solving Everyday Physical Reasoning Problems by Analogy using
Solving Everyday Physical Reasoning Problems by Analogy using

Basic Marketing, 16e - University of Hawaii at Hilo
Basic Marketing, 16e - University of Hawaii at Hilo

... • Autonomous agent – can adapt and alter the manner in which it works • Distributed agent – works on multiple distinct computer systems • Mobile agent – can relocate itself onto different computer systems ...
Agent Shell for the Development of Tutoring Systems for Expert
Agent Shell for the Development of Tutoring Systems for Expert

CYBERNETICS AND ARTIFICIAL INTELLIGENCE Introduction to
CYBERNETICS AND ARTIFICIAL INTELLIGENCE Introduction to

... − To introduce basic ideas and concepts that are often used in very different contexts in various specialized ’cybernetics’ subjects ∗ Electric circuits, Systems and models, Systems and control, Theory of dynamical systems, Communication theory, Artificial Intelligence (Intro, I, II), Biocybernetics ...
Intelligent Systems: Perspectives and Research Challenges
Intelligent Systems: Perspectives and Research Challenges

... the action. Then it selects again an action for this new situation and determines  the probable result. Thus it can choose not only one response rule but a complete  plan  of  action.  This  allows  us  to  create  intelligent  systems,  which  operate  autonomously,  interact  naturally  with  thei ...
The cognitive revolution: a historical perspective
The cognitive revolution: a historical perspective

... Harvard entitled ‘The Psychology of Language’. In the preface, I wrote: ‘The bias is behavioristic – not fanatically behavioristic, but certainly tainted by a preference. There does not seem to be a more scientific kind of bias, or, if there is, it turns out to be behaviorism after all.’ As I read t ...
animated version
animated version

... Frequently the messages have meaning; that is they refer to or are correlated according to some system with certain physical or conceptual entities. These semantic aspects of communication are irrelevant to the engineering problem. The significant aspect is that the actual message is one selected fr ...
Chapter 1 THE INFORMATION AGE IN WHICH YOU LIVE Changing
Chapter 1 THE INFORMATION AGE IN WHICH YOU LIVE Changing

< 1 ... 57 58 59 60 61 62 63 64 65 ... 86 >

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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