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An Expert System for Tourist Information Management
An Expert System for Tourist Information Management

... starts learning from user profile, trip database and user historical transactions. The learning process is using a Q-learning technique. The main concept of the system is that users can surf on the PTS web site to find out interesting trips. Then the top five trips are suggested for users after all ...
Noisy Information Value in Utility-based Decision Making
Noisy Information Value in Utility-based Decision Making

... our state of knowledge may change, affecting what we may learn from other information sources, and this in turn affects their value. In general, when considering sequences of information gathering decisions, every permutation of the available information sources must be considered [15, 8, 11]. A myo ...
Document
Document

... • First, the planning process uses constraintsatisfaction techniques and creates lists of recommended and contraindicated substructures. Then the generate-and-test procedure uses the lists generated and required to explore only a limited set of structures. Constrained in this way, generate-and-test ...
CHAPTER 5
CHAPTER 5

... that learning to the unknown. – It is either taught by someone or teaches itself. After it is taught to recognize the pattern, it can adjust itself to reflect new learning. – Neural networks: system is “guessing” based upon examples and patterns found in the data set- trying to figure out what categ ...
An ontology-based planning support system for delivering land
An ontology-based planning support system for delivering land

... 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 decision-making process i ...
Full text in PDF form
Full text in PDF form

... its core, a source of great technical and social change with which we need to come to terms. But to do so entails exploring and clarifying a set of concepts and activities which are currently both confused and confusing.” Checkland and Howell [20]. The aim of this section is to initiate a discussion ...
Methodology (Cont.)
Methodology (Cont.)

... Individuals in their daily life may suffer from negative or stressful life events. ...
ppt
ppt

... • Powerful way to study the activity of neuronal populations is to calculate ‘the information’ about a given stimulus or behaviour contained in the neuronal responses using the formalism of Shannon information theory. • As before, suppose that a stimulus s belonging to a set S is presented with a pr ...
Graph Databases: Efficient storage  and Rapid retrieval  Robert Levinson
Graph Databases: Efficient storage  and Rapid retrieval  Robert Levinson

... 1. Every primitive data object, label or symbol should be stored only once with pointers used to denote the actual uses of the object. 2. Every compound object should be stored with the minimum information required to represent the combination of its parts. ...
Information system
Information system

... and having the ability to put this knowledge to work can result in a successful personal career, organizations that reach their goals, and a society with a higher quality of life – Identify the basic types of business information systems and discuss who uses them, how they are used, and what kinds o ...
Parallel Search Algorithm
Parallel Search Algorithm

... g(n):real cost of path between initial node to n h(n):estimation of smallest path between n and goal node ...
MS PowerPoint 97/2000 format
MS PowerPoint 97/2000 format

... – Application: Pattern Recognition in DNA sequence, Zip Code Scanning of postal mails etc. – Positive and exemplary points • Clear introduction to one of a new algorithm • Checking its validity with examples from various fields – Negative points and possible improvements • The effectiveness of this ...
Great Challenge in Building Intelligent Systems – Quo Vadis
Great Challenge in Building Intelligent Systems – Quo Vadis

... problem is ‘WHO’ will define HI and MI and I think it must be only made by human or community which define HI and MI by observation of the process. A good example of changing AMI is piloting a large plane 20 years back and now. AMI is completely different and is a nice example how things are changin ...
PowerPoint Slides
PowerPoint Slides

...  Ease of access. Many more people can speak than can type. As long as communication with a computer depends on typing skills, many people may not be able to use computers effectively.  Speed. Even the most competent typists can speak more quickly than they can type.  Manual freedom. There are man ...
Chapter 10
Chapter 10

...  Is ideal for routine, repetitive tasks  Records transactions in batch mode or on-line  Requires six steps to process a transaction— data entry, validation, data processing, storage, output generation, and query support  2000 by Prentice Hall. ...
Syntactic and semantic information in finite systems
Syntactic and semantic information in finite systems

... to decide whether the string is random or simple to compute. Although this definition of information has more intuitive features it is not practical either, referring to the concept of universal computer. It is usually very hard to compute the amount of algorithmic information in any non-trivial str ...
Learning Objectives
Learning Objectives

...  Ease of access. Many more people can speak than can type. As long as communication with a computer depends on typing skills, many people may not be able to use computers effectively.  Speed. Even the most competent typists can speak more quickly than they can type.  Manual freedom. There are man ...
AI
AI

... for the rules that can be applied to this information. If more information is needed, the computer will ask the physician to supply it. Then the rules for these additional data are applied. This process continues until a diagnosis, and treatment, can be recommended. Since the acceptability of an exp ...
Document
Document

... Consciousness: is it an ‘epiphenomenon’ – or can it affect the body? Will: do we make real choices, or are they determined by the laws of physics? Affections: is there a ‘love’ algorithm? Spirit: is there a human capability to know God beyond the five sense? Moral responsibility: what are you doing ...
ICT619 Intelligent Systems
ICT619 Intelligent Systems

...  HNC (now Fair Isaac) software’s credit card fraud detector Falcon offers 30-70% improvement over existing methods (an example of a neural network).  MetLife insurance uses automated extraction of information from applications in MITA (an example of language technology use)  Personalized, Interne ...
KM Enabling Technologies
KM Enabling Technologies

... KM – Connect, Create and Collaborate, and Contextualise. Connect: Ensures people in the organisation get fundamental access to knowledge content and exchange of information (e.g. Browser, XML, HTML, Internet, Semantic Web, World Wide Web). Create and collaborate: Facilitates the creation and externa ...
Tuesday - UT School of Information - The University of Texas at Austin
Tuesday - UT School of Information - The University of Texas at Austin

... textbook, acting as a discussion leader on a major KBS approach, and demonstration of a related developmental tool (30% of grade). ...
Overview of Artificial Intelligence
Overview of Artificial Intelligence

... – What is the nature of “intelligence”? Can a machine/program ever be truly “intelligent”? – Strong AI hypothesis: Is acting intelligently sufficient? – laws of thought; rational (ideal) decision-making • Socrates is a man; men are mortal; therefore, Socrates is mortal ...
ch-8-FIT-pt2
ch-8-FIT-pt2

... Slide 8-14 ...
What Is An Information System?
What Is An Information System?

... or modifying existing business systems. • The SDLC is a formal way of looking at this process. • Nearly every company will develop or use some sort of proprietary software, and the process involves more than just IS personnel. • So, it’s important to understand the SDLC to participate effectively in ...
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Collaborative information seeking

Collaborative information seeking (CIS) is a field of research that involves studying situations, motivations, and methods for people working in collaborative groups for information seeking projects, as well as building systems for supporting such activities. Such projects often involve information searching or information retrieval (IR), information gathering, and information sharing. Beyond that, CIS can extend to collaborative information synthesis and collaborative sense-making.
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