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Applied Computational Intelligence and Soft Computing
Applied Computational Intelligence and Soft Computing

... and methods to be applied to modelling complex systems and optimizing known models of complex systems, not only in the scope of applications of traditional natural sciences, but also in opening the scope to the social sciences framework. We invite authors to contribute high quality research as well ...
Tiger  in a Cage The  Applications  of
Tiger in a Cage The Applications of

CHAPTER ONE
CHAPTER ONE

... Develop a system’s functional requirements Analysis tools ...
Understanding the Brain`s Emergent Properties
Understanding the Brain`s Emergent Properties

... brain, the correlation models that are required may be too complex and may require more sophisticated learning methods than what we have tried with rule abstraction. Finally, it could be the case that the system we are trying to understand simply has no “midpoints.” That is, emergent behavior result ...
INTELLIGENT CONTROLLER
INTELLIGENT CONTROLLER

... should instead try to find the essence of abstract reasoning and problem solving, regardless of whether people used the same algorithms.  Used formal logic to solve a wide variety of problems, including knowledge representation, planning and learning. "Anti-logic" or "scruffy"  Marvin Minsky and S ...
Bringing the User Back into Scheduling: Two Case Studies of
Bringing the User Back into Scheduling: Two Case Studies of

... Objective Function ...
distance learning system «Web
distance learning system «Web

... • System «Web-Almir» allows leading training and knowledge test to corporate networks and Internet, in addition, it can be used as a tool for traditional forms of studying. • System «Web-Almir» gives possibility the user to carry on active practical activity, which is cognitive, researchable, and us ...
Lecture 1:Introduction to Artificial Intelligence
Lecture 1:Introduction to Artificial Intelligence

... •Work in early 50’s by Claude Shannon and Turing on game playing and Marvin Minsky on neural networks. ...
The Future of Artificial Intelligence
The Future of Artificial Intelligence

... autonomy and better and even cheaper home care. If we have intelligent home robots, we can eliminate the drudgery of home maintenance much more than just automated vacuums. Therefore, Dr. John Laird and his team at the University of Michigan are trying to understand how the mind works from a computa ...


... is special track is a forum for discussing the latest approaches in computational linguistics related to cognitive semantics and to artificial intelligence. Its aim is also to exchange ideas concerning the way of building efficient systems for language analysis based on cognitive semantic models. e ...
„POLITEHNICA” UNIVERSITY FROM TIMIŞOARA
„POLITEHNICA” UNIVERSITY FROM TIMIŞOARA

... The course starts with a review of the theory and practice of the most advanced strategies in AI and how to utilize the various techniques in knowledge-based systems. Then, the cognitive processes (perception, memory, language and thought) are investigated. Finally, the main research approaches are ...
Types_of_Computer_Based_Information_Systems
Types_of_Computer_Based_Information_Systems

... • The Knowledge Base system communicates with the user through the User Interface. • In many applications the Knowledge Base system is required to explain its reasoning to the user. This is particularly true in situations such as the identification of chemical structures where new results must be v ...
Recommender Systems
Recommender Systems

... Emotional context ("I fell in love with a boy. I want to watch a romantic movie.") ...
Chapter 13 - Summary and outlook
Chapter 13 - Summary and outlook

... Emotional context ("I fell in love with a boy. I want to watch a romantic movie.") ...
ARTIFICIAL INTELLIGENCE & APPLICATIONS
ARTIFICIAL INTELLIGENCE & APPLICATIONS

... machine talks together. The importance of AI is very wide. Human brain can be transformed into a machine format and all the research is done through AI. Cognitive Psychology and AI are very ...
Brain, Perception, Action
Brain, Perception, Action

Info Systems
Info Systems

...  More reliable than humans, incorporating expertise from many sources.  Able to deduce rules that are not apparent, even to experts  Capable of being extended, as the system is applied and knowledge grows  Built in high-level computer languages (called Shell – e.g. CLIPS, JESS, DROOLS) requiring ...
Artificial Intelligence
Artificial Intelligence

...  The available theories do not explain (or engender) anything resembling human-level general intelligence Hence all three fields share one principal direction! ...
why would you study artificial intelligence? (1)
why would you study artificial intelligence? (1)

... Following Newell and Simon, intelligent activities, in either human or machine, is achieved through the use of: 1. Symbol patterns to represent significant aspects of a problem domain. 2. Operations on these patterns to generate potential solutions to problems. 3. Search to select a solution from am ...
Advanced model updates for systems verifications and modifications (PDF File 81.5 KB)
Advanced model updates for systems verifications and modifications (PDF File 81.5 KB)

The First International Workshop on Web Personalization
The First International Workshop on Web Personalization

... College Dublin and is currently head of Computer Science. He is an ECCAI Fellow and also a co-founder, director, and Chief Technical Officer of ChangingWorlds Ltd. His research covers a broad set of topics within Artificial Intelligence including Case-Based Reasoning, Machine Learning, User Modeling ...
CISC 3140 - Brooklyn College
CISC 3140 - Brooklyn College

... 4. Students will design and implement a small database system. They will create queries that act on that database system, and they will implement those queries both from a command-line SQL interactive interface and from a web-based, browser-friendly database query language. 5. Students will modify a ...
Ch_13
Ch_13

... The ability to draw inferences appropriate to the facts and the situation. It is embodied in logical thinking and includes deductive, inductive, and abductive reasoning: Expert Systems – given the symptoms of computer failure, determine what needs to be repaired (or replaced). ...
Decision support system
Decision support system

... A music owner wants to keep enough hot CDs in stock, so as not to lose sales and disappoint customers. CDs that are not sold for some time, go on the sale table, and are sold at below cost, if they sell at all. She wants to design a DSS to try and predict how many copies of each future CD she should ...
Chapter 13 - Recommender Systems
Chapter 13 - Recommender Systems

... Emotional context ("I fell in love with a boy. I want to watch a romantic movie.") ...
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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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