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An Expert System for Diagnosis of Human Diseases
An Expert System for Diagnosis of Human Diseases

... diagnosis and in addition, it offers explanations of the obtained results, being very helpful to the professional. With the expert system, the user can interact with a computer to solve a certain problem. This can occur because the expert system can store heuristic knowledge. The proposed system per ...
Expert Systems and Artificial Intelligence
Expert Systems and Artificial Intelligence

... Early shells were cumbersome but still allowed the user to avoid having to completely program the system from scratch Modern shells contain two primary modules: a rule set builder and an inference engine Marakas: Decision Support Systems, 2nd Edition © 2003, Prentice-Hall ...
1. A Brief History of AI - Computing Science
1. A Brief History of AI - Computing Science

... Artificial Intelligence is easier to define, although there is no standard, accepted definition. A simple definition might be as follows: Artificial intelligence is the study of systems that act in a way that to any observer would appear to be intelligent. In fact, Artificial Intelligence techniques ...
CSE 214: Data Structures for Information Systems
CSE 214: Data Structures for Information Systems

... process Related to “cognitive science” ...
What is an Expert System?
What is an Expert System?

... ability of a specialist within a given field Expert systems are based on concepts which are extensions of principles of artificial intelligence (AI) ...
DEPARTAMENTO DE CIÊNCIAS DE GESTÃO DISCIPLINA
DEPARTAMENTO DE CIÊNCIAS DE GESTÃO DISCIPLINA

... 3. Describe business intelligence/business analytics and their importance to organizations, and discuss the factors that lead to marketing decision support systems success or failure 4. Understand the concepts of groupwork, communication and collaboration, and see the relationships among enterprise ...
Artificial Intelligence
Artificial Intelligence

... Lecture 2 ...
Applied ontologies and standards for service robots
Applied ontologies and standards for service robots

... service robot technology and software. • Robotic systems end-users for some specific application domain, will then use the specific ontology, e.G., Service or industrial, to represent specific knowledge of the environment. ...
Introduction
Introduction

... • Doesn't necessarily involve thinking – e.g., blinking reflex – but thinking should be in the service of rational action ...
Artificial Intelligence Techniques in Software Engineering
Artificial Intelligence Techniques in Software Engineering

... Artificial Intelligence is concerned with the study and creation of computer systems that exhibit some form of intelligence and attempts to apply such knowledge to the design of computer based systems that can understand a natural language or understanding of natural intelligence. Software Engineeri ...
(PPT, 202KB)
(PPT, 202KB)

... Thus, a subset of FOL can be both easier to use and more practical to implement. This was a driving motivation behind rule-based expert systems. IF-THEN rules provide a subset of FOL but a very useful one that is also very intuitive. The history of most of the early AI knowledge representation forma ...
Artificial Intelligence A Review on Role of Expert System
Artificial Intelligence A Review on Role of Expert System

... human brain. In the field of Ai, an ES is a computer application that have the decision making ability like a human expert. Expert systems are designed to solve critical problems by reasoning about knowledge as if–then rules rather than through conventional procedural code. The ability of an expert ...
Societal Issues in the Networked Economy
Societal Issues in the Networked Economy

... • Tony Tang is the marketing manager of a small but thriving software company which does business in three continents. ...
Artificial Intelligence 人工智能
Artificial Intelligence 人工智能

... was indistinguishable from a conversation with a human being, then the machine could be called "intelligent." ...
Machine translation and artificial intelligence
Machine translation and artificial intelligence

... Machine translation has traditionally been much preoccupied with the problem of finding the topic in a text: in the "Time flies like an arrow" example, we would have the correct reading if we could find out, from wider context, that the sentence is about time, and not about flies or liking. The sema ...
Lecture Notes CS405 Introduction to AI What is Artificial Intelligence
Lecture Notes CS405 Introduction to AI What is Artificial Intelligence

... become more popular, especially as the Internet has grown and spawned applications that require personalized agents to learn a user’s interests. Some examples include cars capable of driving themselves, face and speech recognition, and Internet portals with pre-classified hierarchies. 5. Natural Lan ...
Chapter 4
Chapter 4

... A single CPU machine would take 2 hours to answer a single question ...
Toward Interactive Classrooms
Toward Interactive Classrooms

... Proving the quantitative benefits of knowledge management projects that deal with intangibles such as “knowledge” and “collaboration” is often more challenging than other information systems projects. ...
Chapter 4
Chapter 4

... A single CPU machine would take 2 hours to answer a single question ...
Introduction - University of Western Australia
Introduction - University of Western Australia

... So what is Computational Intelligence? • Is CI defined entirely by analogy with the natural world, or can we be more precise? • The key properties of Computational Intelligence are: • Identifying simple mechanisms to produce good solutions, rather than complex mechanisms to produce an optimal solut ...
Preface
Preface

... It seems clear that scientists of both areas can enter into fruitful discussions. For centuries philosophy has been a seed of ideas used to fertilize other disciplines, such as mathematics or physics. During the last years it became clear that knowledge conceptualization and representation have cruc ...
Judul - Binus Repository
Judul - Binus Repository

... – Includes capability to browse through summarized information on all aspects of the organization and drill down for detailed data – Allows executives to perform “what-if” scenarios ...
The IJCAI-09 Workshop on General Game Playing
The IJCAI-09 Workshop on General Game Playing

... game-playing agents capable of matching wits with the strongest humans in the world, resulting in several success stories for games like e.g. chess and checkers. The success of such systems has been for a part due to years of relentless knowledge-engineering effort on behalf of the program developer ...
Jessica`s CV - IE version - Artificial Intelligence Applications Institute
Jessica`s CV - IE version - Artificial Intelligence Applications Institute

... formal method and the tool is entirely my own effort. Research project: participating in The Enterprise Project aimed at building a knowledge based tool - "Toolset"; tasks involved knowledge acquisition from clients, model building using an adapted IDEF3 method and the evaluation of "Toolset". Other ...
BI - Department of Intelligent Systems
BI - Department of Intelligent Systems

... DM on business-related data agent modeling on a business process ...
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Knowledge representation and reasoning

Knowledge representation and reasoning (KR) is the field of artificial intelligence (AI) dedicated to representing information about the world in a form that a computer system can utilize to solve complex tasks such as diagnosing a medical condition or having a dialog in a natural language. Knowledge representation incorporates findings from psychology about how humans solve problems and represent knowledge in order to design formalisms that will make complex systems easier to design and build. Knowledge representation and reasoning also incorporates findings from logic to automate various kinds of reasoning, such as the application of rules or the relations of sets and subsets.Examples of knowledge representation formalisms include semantic nets, systems architecture, Frames, Rules, and ontologies. Examples of automated reasoning engines include inference engines, theorem provers, and classifiers.
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