Tax Form Advisor Nebela Corina Burca Vlad. Artificial Intelligence What is A.I. ? A simple definition could be : The branch of computer science concerned.

Slides:



Advertisements
Similar presentations
Modelling with expert systems. Expert systems Modelling with expert systems Coaching modelling with expert systems Advantages and limitations of modelling.
Advertisements

ARCHITECTURES FOR ARTIFICIAL INTELLIGENCE SYSTEMS
Chapter 4 Introduction to Cognitive Science
CSC 123 Systems Analysis & Design
Chapter 1 Section II Fundamentals of Information Systems
Software Failure: Reasons Incorrect, missing, impossible requirements * Requirement validation. Incorrect specification * Specification verification. Faulty.
Introduction to Flowcharting
4 Intelligent Systems.
Induction and Decision Trees. Artificial Intelligence The design and development of computer systems that exhibit intelligent behavior. What is intelligence?
Expert System Human expert level performance Limited application area Large component of task specific knowledge Knowledge based system Task specific knowledge.
INTRODUCTION COMPUTATIONAL MODELS. 2 What is Computer Science Sciences deal with building and studying models of real world objects /systems. What is.
Chapter 11 Artificial Intelligence and Expert Systems.
And Just Games etc.. EVOLUTION OF COMPUTER GAMES PongOdyssey Beginning of the use of microprocessors ATARI VCS system bit.
Chapter 12: Intelligent Systems in Business
Copyright 2004 Prentice-Hall, Inc. Essentials of Systems Analysis and Design Second Edition Joseph S. Valacich Joey F. George Jeffrey A. Hoffer Chapter.
WELCOME TO THE WORLD OF FUZZY SYSTEMS. DEFINITION Fuzzy logic is a superset of conventional (Boolean) logic that has been extended to handle the concept.
Lead Black Slide. © 2001 Business & Information Systems 2/e2 Chapter 11 Management Decision Making.
McGraw-Hill/Irwin ©2005 The McGraw-Hill Companies, All rights reserved ©2005 The McGraw-Hill Companies, All rights reserved McGraw-Hill/Irwin.
ICT in Healthcare Expert Systems.
Sepandar Sepehr McMaster University November 2008
Expert Systems Infsy 540 Dr. Ocker. Expert Systems n computer systems which try to mimic human expertise n produce a decision that does not require judgment.
Copyright 2001 Prentice-Hall, Inc. Essentials of Systems Analysis and Design Joseph S. Valacich Joey F. George Jeffrey A. Hoffer Chapter 1 The Systems.
Artificial Intelligence (AI) Addition to the lecture 11.
IE 423 Designing Decision Support Systems Decision Making.
Artificial Intelligence By Ryan Shoultes & Jeremy Creighton.
By Saparila Worokinasih
PYTHON PROGRAMMING Week 10 – Wednesday. TERMS – CHAPTER 1 Write down definitions for these terms:  Computation  Computability  Computing  Artificial.
McGraw-Hill/Irwin Copyright © 2013 by The McGraw-Hill Companies, Inc. All rights reserved. Chapter 10 Supporting Decision Making.
Outline Terminology –Typical Expert System –Typical Decision Support System –Techniques Taken From Management Science and Artificial Intelligence Overall.
Introduction to information systems
Management Information System
1 Lecture 1: Introduction to Artificial Intelligence.
Artificial Intelligence By Michelle Witcofsky And Evan Flanagan.
Data storage management and user profiling with AI methods W. Funika, F.Szura, J.Kitowski KUKDM 2015, Zakopane.
Information knowledge based systems (IKBS) and expert systems.
Artificial Intelligence and Expert Systems. ARTIFICIAL INTELLIGENCE (AI) is the science of R L Being able to Ability to solve a problem.
Grades: 6-8 Subject: Artificial Intelligence An Introduction to the Turing Test.
University of Windsor School of Computer Science Topics in Artificial Intelligence Fall 2008 Sept 11, 2008.
ARTIFICIAL INTELLIGENCE Human like intelligence Definitions: 1. Focus on intelligent Behaviour “Behaviour by a machine that, if performed by a human.
McGraw-Hill/Irwin ©2008 The McGraw-Hill Companies, All Rights Reserved CHAPTER 9 DECISION MAKING.
BY BRITTANY PITCHER & CHRIS SMITH WorkWORLD “Empowerment Through Decision Support Technology”
Artificial Intelligence, Expert Systems, and Neural Networks Group 10 Cameron Kinard Leaundre Zeno Heath Carley Megan Wiedmaier.
Artificial Intelligence in the Robotic Industry By Dalia Elzeny Jason Renaud.
University of Kurdistan Artificial Intelligence Methods (AIM) Lecturer: Kaveh Mollazade, Ph.D. Department of Biosystems Engineering, Faculty of Agriculture,
17/1/1 © Pearson Education Limited 2002 Artificial Intelligence & Expert Systems Lecture 1 AI, Decision Support, Architecture of expert systems Topic 17.
Expert Systems. Learning Objectives: By the end of this topic you should be able to: explain what is meant by an expert system describe the components.
McGraw-Hill/Irwin © The McGraw-Hill Companies, All Rights Reserved CHAPTER 9 Enabling the Organization—Decision Making.
1 Introduction to Flowcharting Computer Science Principles ASFA.
Of An Expert System.  Introduction  What is AI?  Intelligent in Human & Machine? What is Expert System? How are Expert System used? Elements of ES.
ITEC 1010 Information and Organizations Chapter V Expert Systems.
1 Chapter 13 Artificial Intelligence and Expert Systems.
1 Artificial Intelligence & Prolog Programming CSL 302.
Computer Systems Architecture Edited by Original lecture by Ian Sunley Areas: Computer users Basic topics What is a computer?
Expert Systems. Knowledge base Inference engine ReasoningControl User interface user Components of an rule based Expert System.
Chapter 1 Assuming the Role of the Systems Analyst.
Chapter 1: Introduction to Systems Development Systems concepts The information systems infrastructure Top-down information systems development Methodologies.
Introduction to Business Information Systems. An information system (IS) is any organized system for the collection, organization, storage and communication.
Classification of models
CHAPTER 1 Introduction BIC 3337 EXPERT SYSTEM.
Artificial Intelligence, P.I
The systems approach Churchman, C.W. (1968) The Systems Approach, Dell Publishing Co., New York. Ackoff, R.L. (1971) Towards a system of system concepts.
Artificial Intelligence ppt
Introduction to pseudocode
Intelligence Are the things shown below, Intelligent?
Expert Systems.
Introduction to Artificial Intelligence Lecture 15: Expert Systems
Requirement Analysis using
WJEC GCSE Computer Science
 Is a machine that is able to take information (input), do some work on (process), and to make new information (output) COMPUTER.
Internal components of a computer.
Presentation transcript:

Tax Form Advisor Nebela Corina Burca Vlad

Artificial Intelligence What is A.I. ? A simple definition could be : The branch of computer science concerned with the automation of intelligent behaviour.

Expert system What is an expert system? An expert system is a computer system that emulates the decision-making ability of a human expert, i.e. it acts in all respects as its human counterpart.

The arhitecture of a rule based system

Decision trees Our application is based on decision trees. A decision tree takes as input an object or situation described by a set of properties, and outputs a yes/no decision.

How our program works?

Activity diagram

The core component of our rule based system are rules and facts. We grouped together our rules and facts into modules We separated the rules into “ask questions” rules and “make recommendations” modules, so we can have the system ask all its questions at once first, and then make all its recommendations together at the end. We also added salience so that the system would ask the question in our chosen order. The system asks the user a series of questions and then recommends a list of income tax forms the user might need.