30-04-2011, 11:04 AM
Presented by
Tanu Dixit
[attachment=13095]
What is INTELLIGENCE???
The ability to comprehend, understand and get profit from experience.
Intelligence is the computational part of the ability to achieve goals in the world. Varying kinds and degrees of intelligence occur in people, many animals and some machines.
Artificial intelligence may be defined in a number of ways
AI refers to an algorithm or set of algorithms that can make decisions in a logical way.
AI is the use of programs to enable machines to perform tasks which humans perform using their intelligence.
AI is the process of inducing intelligence into the machines, artificially/externally.
The branch of computer science that deal with writing computer programs that can solve problems creatively
What type of reasoning is connected with Artificial Intelligence???
The AI routine for a bad guy in a game might let him figureout how to find you. Another use of AI is to have a maze or puzzle solved automatically.
Artificial Intelligence (AI) is used in games for everything from making a computer opponent behave believably like a human opponent to having automated units perform tasks in a realistic manner.
Intelligent Behavior
Learn from experience.
Apply knowledge acquired from experience.
Handle complex situations.
Solve problems when important information is missing.
React quickly and correctly to a new situation.
Understand visual images.
Process and manipulate symbols.
Be creative and imaginative.
Use heuristics.
GOALS
Among the traits that researchers hope machines will eventually exhibit are:
• Reasoning
• Knowledge
• Planning
• Learning
• Communication
• Perception
General Intelligence (or, Strong AI) is the ultimate long-term goal of researchers, although it has yet to be achieved.
REQUIREMENTS
For a potential AI unit to be considered “alive” or “intelligent” it would have to exceed its original programming.
• The AI questioning its original programming without provocation.
AI was programmed to go “beep” every minute and then left alone to do so, eventually it would wonder if it was necessary to beep every minute.
• The AI being able to solve problems it was not originally programmed to solve.
This requirement shows an ability to apply deductive reasoning without connections that have been specifically laid beforehand. It further requires the AI to draw upon all of its “knowledge” and “skills”
This idea further extends to the AI making connections that it was not specifically given; applying methods to situations where the methods weren’t originally intended to be applied, getting results, and either discarding the results as nonsensical or realizing that they are valid.
Problems of Artificial Intelligence
Deduction, Reasoning, and Problem Solving
Early AI researchers developed algorithms that could imitate the process of conscious, step-by-step reasoning that human beings use when they solve puzzles or make logical deductions.
By the 80s and 90s, AI research had also developed successful methods for dealing with uncertain or incomplete information by using concepts from probability and economics.
Tanu Dixit
[attachment=13095]
What is INTELLIGENCE???
The ability to comprehend, understand and get profit from experience.
Intelligence is the computational part of the ability to achieve goals in the world. Varying kinds and degrees of intelligence occur in people, many animals and some machines.
Artificial intelligence may be defined in a number of ways
AI refers to an algorithm or set of algorithms that can make decisions in a logical way.
AI is the use of programs to enable machines to perform tasks which humans perform using their intelligence.
AI is the process of inducing intelligence into the machines, artificially/externally.
The branch of computer science that deal with writing computer programs that can solve problems creatively
What type of reasoning is connected with Artificial Intelligence???
The AI routine for a bad guy in a game might let him figureout how to find you. Another use of AI is to have a maze or puzzle solved automatically.
Artificial Intelligence (AI) is used in games for everything from making a computer opponent behave believably like a human opponent to having automated units perform tasks in a realistic manner.
Intelligent Behavior
Learn from experience.
Apply knowledge acquired from experience.
Handle complex situations.
Solve problems when important information is missing.
React quickly and correctly to a new situation.
Understand visual images.
Process and manipulate symbols.
Be creative and imaginative.
Use heuristics.
GOALS
Among the traits that researchers hope machines will eventually exhibit are:
• Reasoning
• Knowledge
• Planning
• Learning
• Communication
• Perception
General Intelligence (or, Strong AI) is the ultimate long-term goal of researchers, although it has yet to be achieved.
REQUIREMENTS
For a potential AI unit to be considered “alive” or “intelligent” it would have to exceed its original programming.
• The AI questioning its original programming without provocation.
AI was programmed to go “beep” every minute and then left alone to do so, eventually it would wonder if it was necessary to beep every minute.
• The AI being able to solve problems it was not originally programmed to solve.
This requirement shows an ability to apply deductive reasoning without connections that have been specifically laid beforehand. It further requires the AI to draw upon all of its “knowledge” and “skills”
This idea further extends to the AI making connections that it was not specifically given; applying methods to situations where the methods weren’t originally intended to be applied, getting results, and either discarding the results as nonsensical or realizing that they are valid.
Problems of Artificial Intelligence
Deduction, Reasoning, and Problem Solving
Early AI researchers developed algorithms that could imitate the process of conscious, step-by-step reasoning that human beings use when they solve puzzles or make logical deductions.
By the 80s and 90s, AI research had also developed successful methods for dealing with uncertain or incomplete information by using concepts from probability and economics.
