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  Computing Notes
  => 1 Introduction To Computing
  => 1.1 Computer Hardware
  => 1.2 Computer Software
  => 1.3 The Human-Computer Interface
  => 1.4 Business Information Systems
  => 1.5 Batch Processing
  => 2 Word Processing
  => 2.1 Introduction
  => 2.2 Editing Facilities
  => 2.3 Bullets And Numbering
  => 2.4 Layout Facilities
  => 2.5 Headers And Footers
  => 2.6 Style Controls
  => 2.7 Spelling And Grammar Checking
  => 2.8 Inserting Columns
  => 2.9 Borders And Shading
  => 2.10 Tables
  => 2.11 Inserting Graphics
  => 2.12 Mail Merging
  => 2.13 Macros
  => 3 Programming In QuickBASIC
  => 3.1 Introduction
  => 3.2 Variables, Input And Output
  => 3.3 Arithmetic Operators
  => 3.4 Iteration
  => 3.5 Selection
  => 3.6 Functions
  => 3.7 Subprograms
  => 3.8 Recursion
  => 3.9 Arrays
  => 3.10 Program Structure
  => 3.11 Jackson Structure Diagrams
  => 3.12 String Processing
  => 4 Data Representation
  => 4.1 Different Computer Codes
  => 4.2 Binary Integers
  => 4.3 Higher Number Bases
  => 4.4 Graphics, Sounds And Other Interpretations
  => 4.5 Fixed Point Binary Numbers
  => 4.6 Floating Point Binary Numbers
  => 4.7 Range And Accuracy
  => 5 Spreadsheets
  => 5.1 Introduction
  => 5.2 General Features
  => 5.3 "What If" Calculations
  => 5.4 Changing The Workbook's Appearance
  => 5.5 Relative And Absolute Reference
  => 5.6 Sorting And Filters
  => 5.7 Charts
  => 5.8 Lookup
  => 5.9 The IF Function
  => 5.10 Goal Seeker
  => 5.11 Solver
  => 5.12 Macros
  => 6 Files
  => 6.1 File Concepts
  => 6.2 Serial & Sequential Files
  => 6.3 Indexed Sequential Files
  => 6.4 Random Access Files
  => 6.5 Overview of File Processing
  => 7 Standard Algorithms
  => 7.1 Linear Searches
  => 7.2 Binary Search
  => 7.3 Internal Sorting
  => 7.4 External Sorting
  => 8 Legal Issues And Data Security
  => 8.1 The Computer Missuse Act 1990
  => 8.2 The Data Protection Act 1984
  => 8.3 Computer Fraud
  => 8.4 Software Copyright
  => 8.5 Viruses And Trojans
  => 8.6 Security Of Data
  => 8.7 Data Integrity
  => 9 Databases
  => 9.1 Flat-file Databases
  => 9.2 Introduction To Relational Databases
  => 9.3 The Aims Of Database Normalisation
  => 9.4 Security And Integrity Issues
  => 9.5 Database Management
  => 10 Data Structures
  => 10.1 Introduction
  => 10.2 Linear Lists
  => 10.3 Linked Lists
  => 10.4 Queues
  => 10.5 Stacks
  => 10.6 Binary Trees
  => 11 Systems Development
  => 11.1 Introduction
  => 11.2 Analysis
  => 11.3 Design
  => 11.4 Graphical System Representation
  => 11.5 Development
  => 11.6 Testing
  => 11.7 Implementation
  => 11.8 Maintenance
  => 11.9 System Documentation
  => 12 Peripherals
  => 12.1 Input Devices
  => 12.2 Output Devices
  => 12.3 Storage Devices
  => 13 Computer Architecture
  => 13.1 The Processor And Memory
  => 13.2 The Fetch-Execute Cycle
  => 13.3 Data Buses
  => 13.4 Processing Architectures
  => 13.5 Assembly Language
  => 14 Translation
  => 14.1 Interpreters
  => 14.2 Compilers
  => 14.3 Compilation Phases
  => 14.4 Assemblers
  => 15 Operating Systems
  => 15.1 Operating System Functions
  => 15.2 Different OS Modes
  => 15.3 Job Control Language
  => 15.4 The Scheduler And Dispatcher
  => 15.5 Memory Management
  => 15.6 Peripheral Control
  => 15.7 Backing Store Management
  => 16 High Level Programming
  => 16.1 High And Low Level Languages
  => 16.2 Language Classification
  => 16.3 Language Generations
  => 16.4 Logic Programming
  => 16.5 Choosing A Programming Language
  => 17 Computers & Communication
  => 17.1 Data Transmission
  => 17.2 Local Area Networks
  => 17.3 Wide Area Networks
  => 17.4 The Internet
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INDIA
16.4 Logic Programming
Section 16.4

High Level Programming

16.4 Logic Programming

Expert systems and artificial intelligence (AI) systems often make use of logic programming.

16.4.1 Expert Systems

These are computer programs that attempt to replicate the performance of a human expert on some specialised reasoning task.

Expert systems have:

A Knowledge Base

E.g. A family tree.

As well as containing facts on who is male and female and who is a parent of whom, the knowledge base also consists of rules.

An Inference Engine And A HCI

In ProLog this can be done by entering queries.

For example: Does Liz have a brother?

? - brother(X, Liz)

Output: X = Bob

Or: Who is Bob's grandchild?

? - Grandparent (Bob, who)

Output: who = Jim

16.4.2 Artificial Intelligence

All systems are concerned with knowledge. Declaritive programming languages are a means of solving problems to do with knowledge.

The Turing Test is a functional test of AI.

Applications

  • Expert Systems Control
  • Problem Solving
  • Decision Support Systems
  • Pattern Recognition (E.g. Image Recognition)

16.4.3 Processing Natural Langauge

Syntax Rules

Both computer languages and natural languages have well defined syntax rules which determine whether a statement is correct or not.

Vocabulary

Only programming languages have a small vocabulary.

Ambiguity

Statements in natural languagescan have more than one meaning.

ProLog has been used to process and translate natural lanaguages.

This is because it can parse the phrase-structure grammar.


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