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2nd International Conference on Hybrid Intelligent Systems
2nd International Conference on Hybrid Intelligent Systems

... Networks, and more, have been used to realize artificial systems able to perform typical human tasks. The current research trend is to exploit Soft Computing techniques to model and emulate the main human capability: Creativity. The main challenges seem to be: i) the definition of quality measures o ...
An ontology-based planning support system for delivering land
An ontology-based planning support system for delivering land

... positioning system) increased the availability of spatial information. Modern spatial planning approaches require integration, interpretation and representation of knowledge (Zhu et al., 1998). These needs can be addressed by computer-based systems, which are becoming an important tool for the decis ...
Encyclopedia of Artificial Intelligence
Encyclopedia of Artificial Intelligence

... If a library purchased a print copy of this publication, please go to http://www.igi-global.com/agreement for information on activating the library's complimentary electronic access to this publication. ...
Creating AI: A unique interplay between the development of learning
Creating AI: A unique interplay between the development of learning

...  Setting different levels to be achieved by HAL helps in the learning  HAL is given specific reinforcement on each level to achieve the necessary lingual behaviours ...
The use of artificial intelligence techniques in preliminary structural
The use of artificial intelligence techniques in preliminary structural

... Knowledge based systems acquire knowledge or learn ideas similar to the way people learn. The study of how knowledge based systems learn can provide insight into the way people learn and vice versa. Learning new concepts may be through sequences (see figure 3-2 ). Learning may also be done through t ...
Introduction to Cognitive Science
Introduction to Cognitive Science

... The study of communication and control ...
File - Computers in Manufacturing Enterprise (MEL 423)
File - Computers in Manufacturing Enterprise (MEL 423)

... Generic Application of Expert Systems Classification - identify an object based on stated characteristics Diagnosis Systems - infer malfunction or disease from observable data Monitoring - compare data from a continually observed system to prescribe ...
The brain-machine disanalogy revisited
The brain-machine disanalogy revisited

Co-creating Game Content using an Adaptive Model of User Taste
Co-creating Game Content using an Adaptive Model of User Taste

... These fitness dimensions are aggregated into a weighted sum which is used as the feasible population’s fitness function — the weights in this quality approximation are adjusted according to a user’s selection among a set of presented spaceships. This adaptive aesthetic model aims to enhance the visu ...
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Intelligence - Ohio University

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Management Information Systems

... Describe natural language processing and compare it to speech understanding. Describe Artificial Neural Networks (ANNs), their characteristics and major applications. Compare it to fuzzy logic and describe its role in hybrid intelligent ...
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chatbot-a java based intelligent conversational agent

Collaboration System
Collaboration System

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Intelligent Systems

... different combinations of small steps, until the right one was found. This approach was quite feasible for smaller problems, so it seemed reasonable that, if the programs could be “scaled up” to solve large problems, they would finally succeed. ...
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Topics for Master`s Projects and Theses

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computer applications in agricultural research

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What is autonomic computing (communications)

Ch01 - Department of Computer Science and Electrical
Ch01 - Department of Computer Science and Electrical

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is function OF - Association for Contextual Behavioral Science

... a) BT historically fits within the functional approach: - classical conditioning (BT): CS-US pairings => change in behavior - operant conditioning (ABA): Sd: R-O => changes in behavior => BT analysis: psychopathology as instances of conditioning (e.g., fear for elevator as instance of conditioning) ...
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CS 431: ARTIFICIAL INTELLIGENCE Today

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Towards the Theory-Guided Design of Help

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Artificial Intelligence - Computer Science

Knowledge Based Systems - Tennessee Tech University
Knowledge Based Systems - Tennessee Tech University

... dullest of men can do. Secondly, even though some machines might do some things as well as we do them, or perhaps even better, they would inevitably fail in others, which would reveal that they are acting not from understanding, but only from the disposition of their organs. For whereas reason is a ...
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chapter 1 - Blog Bina Darma

... - Thinking is in the service of rational action - Entirely dependent on goals! - Irrational ≠ insane, irrationality is sub-optimal action - Rational ≠ successful • Our focus here: rational agents - Systems which make the best possible decisions given goals, evidence, and constraints - In the real wo ...
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Paper Prototyping - SIUE Robotics - Southern Illinois University

... Effort we are willing to put forth to get a task done (Saffo) Easier, familiar mechanical components Plug & Play feel to sensors Wide range of programming environments – Stability reduces overhead of support, malignance, and troubleshoot ...
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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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