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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 ...
DEPARTAMENTO DE CIÊNCIAS DE GESTÃO DISCIPLINA
DEPARTAMENTO DE CIÊNCIAS DE GESTÃO DISCIPLINA

... 1. Understand how information and decision support systems can assist marketers in their work, and recognize the conceptual foundations of decision making in marketing 2. Describe the concepts of modeling and how management support systems models interact with data and the user, and explain the impo ...
10-14 Decision Support Systems - Official Site of Moch. Wisuda S
10-14 Decision Support Systems - Official Site of Moch. Wisuda S

... • Works with experts to capture the knowledge (facts and rules of thumb) they possess • Builds the knowledge base, and if necessary, the rest of the expert system • Performs a role similar to that of systems analysts in conventional information systems ...
Advance applications of Artificial Intelligence
Advance applications of Artificial Intelligence

... conversational human languages and have them that a normal digital computer can do or even more. “understand” us as easily as we understand each In practice, neural networks are especially useful other is a goal of AI research. Other natural for classification and function approximation or interface ...
Advanced Artificial Intelligence Hoá NGUYEN
Advanced Artificial Intelligence Hoá NGUYEN

... About the theory and practice of constructing systems (machines) that can be considered intelligent Covering both theoretical aspects of AI through readings and practical aspects of AI through programming and implementation ...
The Experiential Information Exchange
The Experiential Information Exchange

... through personal “contagions” (Barlas and Huang 2009), the Internet has dramatically increased the scale of WOM communication (Dellarocas 2003). Examples of such electronic word-of-mouth (eWOM) communications include online product review forums, internet discussion groups, instant messaging, chat r ...
10-25 Using Decision Support Systems
10-25 Using Decision Support Systems

... 1. Consider the outcomes of the projects discussed in the case. In all of them, the payoffs are both larger and achieved more rapidly than in more traditional system implementations. Why do you think this is the case? How are these projects different from others you have come across in the past? Wha ...
Data
Data

... Knowledge: information above & other information creates an awareness of impact Post lowered its prices after the first quarter. Price change has caused Post sales to rise at the expense of Kellogg’s ...
ai-course-outline
ai-course-outline

... Artificial Intelligence – A Modern Approach (2nd edition) By Stuart Russell & Peter Norvig References: Course Objectives: Obtain an overview of artificial intelligence (AI) principles and approaches. Develop a basic understanding of the building blocks of AI as presented in terms of intelligent agen ...
CIS 192: Artificial Intelligence
CIS 192: Artificial Intelligence

... variable no possible values, this cannot possibly be a solution, so we can stop there – We can now propagate these constraints as we ...
MS PowerPoint format - Kansas State University
MS PowerPoint format - Kansas State University

... – Goal state may not be reachable in one action – Assume limited access: effects of actions known (may or may not have sensors) – Significance • Need to reason over states that agent can get to • May be able to guarantee reachability of goal state anyway ...
Artificial Intelligence - Computer Science Department
Artificial Intelligence - Computer Science Department

... problem in logical terms – Logical inference; strategies of resolution; capacity to solve problems by resolution – Graph and tree structures; algorithms for search in trees and graphs – Computational complexity; calculation of algorithm execution's cost ...
Lecture-09-20050914 - Kansas State University
Lecture-09-20050914 - Kansas State University

... • Utility and representations (e.g., static evaluation function) • Reinforcements: possible role for machine learning ...
Chapter 1 THE INFORMATION AGE IN WHICH YOU LIVE Changing
Chapter 1 THE INFORMATION AGE IN WHICH YOU LIVE Changing

... MULTI-AGENT SYSTEMS AND AGENT-BASED MODELING o Biomimicry – learning from ecosystems and adapting their characteristics to human and organizational situations o Used to 1. Learn how people-based systems behave 2. Predict how they will behave under certain circumstances 3. Improve human systems to m ...
Lec1-AIIntro - Donald Bren School of Information and Computer
Lec1-AIIntro - Donald Bren School of Information and Computer

... Normative or prescriptive rather than descriptive Aristotle: what are correct arguments/thought processes? Several Greek schools developed various forms of logic Boole thought he would stop war Direct line through mathematics and philosophy to modern AI • Problems: • 1) Not all intelligent behavior ...
Ch 4
Ch 4

... Business need IT-based analytics tools ...
Organizational Memory and Knowledge Management
Organizational Memory and Knowledge Management

... shifting, technology proliferating, competitors multiplying, and products become obsolete overnight. In the currently emerging knowledge society, knowledge is seen as the most important success factor. Similar to the significance of technologies and mechanical machines during the industrial revoluti ...
chapter 1 - Blog Bina Darma
chapter 1 - Blog Bina Darma

... logic, probability, and utility - Difficult material - wait a few weeks • Let’s start with search techniques. Why? – An important subproblem of many AI problems: • Searching for sequences of actions that maximize expected future performance (planning, policy search) • Searching in our knowledge base ...
Shah_Malalur - Computer Science
Shah_Malalur - Computer Science

...  Calendar Apprentice (CAP)  Personal assistant agent system which learns about user preferences and habits and manages his calendar operations. The system learns about the user's scheduling and preferences from experience and serves as a personal software assistant. ...
Presentation - LOEX Conference
Presentation - LOEX Conference

... Trying to get students’ mental models of how the Web and scholarly publishing “work” ...
'Why Does Google Scholar Sometimes Ask for Money?“
'Why Does Google Scholar Sometimes Ask for Money?“

... Trying to get students’ mental models of how the Web and scholarly publishing “work” ...
Faculty of Administrative and Financial Sciences Management
Faculty of Administrative and Financial Sciences Management

... the E-Business Enterprise (5th ed.). Irwin, Boston Burr Ridge: McGrawHill Companies, Inc. www.prenhall.com ...
Faculty of Administrative and Financial Sciences Management
Faculty of Administrative and Financial Sciences Management

... the E-Business Enterprise (5th ed.). Irwin, Boston Burr Ridge: McGrawHill Companies, Inc. www.prenhall.com ...
Personalized Information Management for Web Intelligence
Personalized Information Management for Web Intelligence

... • Try the obvious first. If you're looking for information on java project , enter ”Java project" rather than ”java". ...
Sdi - About
Sdi - About

... – Using formal concept analysis techniques for finding relations from the generated groups, where each node in the graph represents a descriptor(namely a group of synonyms terms) – Clustering of documents depending on the terms(and synonyms) including links to those with which has any relation(hypon ...
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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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