Your SlideShare is downloading. ×
is.ppt
is.ppt
is.ppt
is.ppt
is.ppt
is.ppt
is.ppt
is.ppt
is.ppt
is.ppt
is.ppt
is.ppt
is.ppt
is.ppt
Upcoming SlideShare
Loading in...5
×

Thanks for flagging this SlideShare!

Oops! An error has occurred.

×
Saving this for later? Get the SlideShare app to save on your phone or tablet. Read anywhere, anytime – even offline.
Text the download link to your phone
Standard text messaging rates apply
0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total Views
274
On Slideshare
0
From Embeds
0
Number of Embeds
0
Actions
Shares
0
Downloads
4
Comments
0
Likes
0
Embeds 0
No embeds

Report content
Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
No notes for slide

Transcript

  • 1. 3) How intelligent are modern chatter bots? Do they meet Turing’s prediction?
    • Chatter bots
      • Are pieces of software.
      • Using natural language processing, their program attempts to identify what a user says - the input - then applies a variety of different methods, from pattern matching and keyword identification to neural networks and fuzzy logic, to produce an appropriate answer.
      • No chatter bots can claim to have human capacities of reasoning and deduction, and by no means are yet able to reproduce all the complexity of the human brain.
  • 2. 3) How intelligent are modern chatter bots? Do they meet Turing’s prediction?
    • How intelligent are chatterbots depend
    • on:
    • the technology on which the chatter bots is based on
    • the quality of the knowledge base - the brain - that has been developed by the botmaster
    • what you expect from them ?
  • 3. 3) How intelligent are modern chatter bots? Do they meet Turing’s prediction?
    • Developers have found a number of solutions which
    • enable chatter bots to imitate human conversational
    • ability, based upon a range of tricks for avoiding
    • Difficult questions and sticking to areas that they
    • can handle, which in some ways is a proof of
    • intelligence in itself.
  • 4. 3 ) How intelligent are modern chatter bots? Do they meet Turing’s prediction?
    • These include:
    • making controversial statements to provoke a response
    • agreeing with the user, rather than being non-committal
    • repeating user input in their answers to make it seem as if they are following the conversation
    • remembering and reusing past topics of conversation
    • changing the topic when they don't understand
  • 5. 3 ) How intelligent are modern chatter bots? Do they meet Turing’s prediction?
    • Turing Predication:
    • Turing predicted that machines would be capable of
    • being as human as humans by the end of the twentieth
    • century... but it seems as if it will be some years yet
    • before this dream becomes reality.
  • 6. 3) How intelligent are modern chatter bots? Do they meet Turing’s prediction?
    • Example A.L.I.C.E Chatterbots:
    • A.L.I.C.E Statement:
      • are not related to what I was chatting.
      • Sometime say “I was not designed for”.
      • Not remembering the past conversations.
  • 7. 3) How intelligent are modern chatter bots? Do they meet Turing’s prediction?
    • Conclusion:
    • More and more effort is going into chatterbots research
    • and development.
    • Although acquiring human intelligence remains a distant
    • dream, chatterbots technology can only keep improving,
    • to meet the ever-growing need for communication and
    • information.
  • 8. 3) How intelligent are modern chatter bots? Do they meet Turing’s prediction?
    • References:
    • www.agentland.com
    • www.alicebot.org
    • www.stetson.edu
  • 9. 5) What would or do you regard as evidence of intelligence in a machine?
    • Evidence of intelligence in a machine can be
    • easily found if we can answer the question
    • below:
    • “ What do you consider intelligence to be?”
  • 10. 5) What would or do you regard as evidence of intelligence in a machine?
    • Approach:
    • A human cannot be intelligent in all the areas.
    • E.g.:
    • An engineer is knowledgeable in his own area
    • and if we ask any question related to medical
    • field he might not be able to answer. But, as an
    • engineer he will be able direct us to some
    • medical representative who will be able to
    • answer .
  • 11. 5) What would or do you regard as evidence of intelligence in a machine?
    • Evidence of intelligence in a machine:
    • Pass the Turing test.
    • Ability to
    • understand and learn
    • solve problem
    • make own decisions.
    • adapt
  • 12. 5) What would or do you regard as evidence of intelligence in a machine?
    • Execute efficient search mechanisms to carry out complex computations
    • Should be able to exhibit proper responses to various stimuli
    • Should have some kind of memory and be able to interact & learn from new environments
  • 13. 5) What would or do you regard as evidence of intelligence in a machine?
    • They should be able to act on their own
    • Machines have been built to emulate human behaviour
    • Current chatter bots have shown a good sense of humor
  • 14. 5) What would or do you regard as evidence of intelligence in a machine?
    • E.g.: Asimo
    • (Advanced Step in Innovative Mobility)
      • Look like humans and have similar intelligence and abilities of human.
      • Capable of performing most common household chores.
      • In addition, the androids will function as round-the-clock security guards capable of phoning the police or fire departments in case of emergency.

×