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IEEE 2016 PROJECTS JAVA

 
 
Artificial Intelligence:
DEFINITION
»
Artificial intelligence (AI) is technology and a branch of computer science that studies and develops intelligent machines and software. It is often defined as "the study and design of intelligent agents", where an intelligent agent is a system that perceives its environment and takes actions that maximize its chances of success.
 
INTRODUCTION
»
Intelligence is the ability to think, to imagine, creating, memorizing, and understanding, recognizing patterns, making choices, adapting to change and learn from experience.
 
»
Artificial intelligence is a human endeavour to create a non-organic machine-based entity that has all the above abilities of natural organic intelligence.
 
»
It’s also the search for a way to map intelligence into mechanical hardware and enable a structure into that system to formalize thought.
 
» It’s the ultimate challenge for an intelligence, to create an equal, another intelligent being.
 
» It is the ultimate form of art, where the artist's creation, not only inherits the impressions of his thoughts, but also his ability to think!
 
» Deals with "right thinking" and dives into the field of logic. Uses logic to represent the world and relationships between objects in it and come to conclusions about it.
 
» Turing defined as intelligent behaviour as the ability to achieve human-level performance in all cognitive tasks, sufficient to fool a human person.
 
ieee final year projects
 
   
Classification:
» Artificial Intelligence is classified further into three major parts
  • Symbolic AI
  • Connectionist AI
  • Evolutionary AI
   
Symbolic AI
» AI which have “knowledge” explicitly written into the AI’s coding.
» Uses symbols, aka variables, to perform its work.
  Strength
  • Working with logical problems.
Weakness
  • Working with imperfect data.
Connectionist AI
» Designed to be a network of connected simulated neurons.
» “Taught” by a series of adjustments.
» Similar to a natural mind.
  Strength
  • Working with imperfect data.
Weakness
  • Working with logical problems.
Evolutionary AI
» Designed to be able to modify themselves.
» The AI will constantly try to improve its efficiency by testing a modified version against an unmodified version.
» Whichever has the best efficiency is the one that is used from then on.
 
Real Time Examples
  • Gaming
  • Speech Recognition
  • Automatic Driving Bot
 
 
 
 
 
 
   
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