Introduction to AI - Artificial Intelligence and Machine Learning
Subject and UNIT: Artificial Intelligence and Machine Learning: Unit I(a): Introduction to AI
One of the most important questions to answer in any scientific or engineering research project is "How will we know if we have succeeded?". So how in Al we have to ask ourselves, how will we know if we have constructed a machine that is intelligent?
Introduction to AI - Artificial Intelligence and Machine Learning
Subject and UNIT: Artificial Intelligence and Machine Learning: Unit I(a): Introduction to AI
Before starting doing something, it is good idea to decide exactly what one is trying to do. One should ask following questions for self analysis
Introduction to AI - Artificial Intelligence and Machine Learning
Subject and UNIT: Artificial Intelligence and Machine Learning: Unit I(a): Introduction to AI
Intelligence requires knowledge but knowledge possesses less desirable properties such as, 1. It is voluminous. 2. It is difficult to characterize accurately. 3. It is constantly changing. 4. It differs from data by being organised in a way that corresponds to its application.
Introduction to AI - Artificial Intelligence and Machine Learning
Subject and UNIT: Artificial Intelligence and Machine Learning: Unit I(a): Introduction to AI
A physical symbol system consists of a set of entities called symbols which are patterns that can occur as components of another entity called an expression.
Introduction to AI - Artificial Intelligence and Machine Learning
Subject and UNIT: Artificial Intelligence and Machine Learning: Unit I(a): Introduction to AI
Much of the early working AI focused on formal tasks, such as game playing and theorem proving. For example chess playing, logic theorist was an early attempt to prove mathematical theorems.
Introduction to AI - Artificial Intelligence and Machine Learning
Subject and UNIT: Artificial Intelligence and Machine Learning: Unit I(a): Introduction to AI
MACSYMA - Advised the user on how to solve complex maths problems. DENDRAL - Advised the user on how to interpret the output from a mass spectrograph.
Introduction to AI - Artificial Intelligence and Machine Learning
Subject and UNIT: Artificial Intelligence and Machine Learning: Unit I(a): Introduction to AI
Here are the considerable difference between human and machine.Machines do not have life, as they are mechanical. On the other hand, humans are made of flesh and blood; life is not mechanical for. humans.
Introduction to AI - Artificial Intelligence and Machine Learning
Subject and UNIT: Artificial Intelligence and Machine Learning: Unit I(a): Introduction to AI
NASA's Remote Agent program became the first on-board autonomous planning program to control the scheduling of operations for spacecraft. Such remote agents can do task of detecting, diagnosing and recovering from problems as they occurred.
Introduction to AI - Artificial Intelligence and Machine Learning
Subject and UNIT: Artificial Intelligence and Machine Learning: Unit I(a): Introduction to AI
The early work that is now generally recognized as AI was done in the period of 1943 to 1955. The first AI thoughts were formally put by men McCulloch and Walter Pitts (1943).
Introduction to AI - Artificial Intelligence and Machine Learning
Subject and UNIT: Artificial Intelligence and Machine Learning: Unit I(a): Introduction to AI
Many human mental activities such as developing computer programs, working out mathematics, engaging in common sense reasoning, understanding languages and interpreting it, even driving an automobile are said to demand "intelligence".
Advanced Topics - Database Management System
Subject and UNIT: Database Management System: Unit V: Advanced Topics
A distributed database system consists of loosely coupled sites (computer) that share no physical components and each site is associated a database system.
Advanced Topics - Database Management System
Subject and UNIT: Database Management System: Unit V: Advanced Topics
The database community need the solution to assess the quality of data. The quality of data can be assessed by a simple mechanism such as quality stamps