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Computational Model for Acquisition of Knowledge about Possession

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Title: Computational Model for Acquisition of Knowledge about Possession


1
Computational Model for Acquisition of
Knowledge about Possession Gaylee Saliba
2
Main Aspiration of A.I. Lab
  • Attain a thorough understanding of intelligence
  • Design/ develop systems exhibiting such
    intelligence

3
Solution to Problem?
  • Comprehend the inner workings of the human mind
  • Robotics, vision, and language

4
Genesis Group
  • Who/What?
  • Active group of faculty members striving to
  • understand intelligence led by Professor Winston
  • Mantra?
  • Its all about vision, language, and motor
    faculties

5
Vision
  • If we are to successfully create intelligent
    machines, it is essential to develop a system
    that grounds abstract notions such as possession
    in the physical world

6
Prior Work
  • Ray Jackendoff (Linguistics)
  • Trajectories
  • Gary Bordchart (A.I.)
  • Transition space representations (TSR)
  • Key focus on change of state not time

7
Solution
8
Possession Space
  • 3 Dimensions
  • - Physical State
  • - Mental State
  • - Desire

9
Key Examples
  • A ? B A ? B
  • D D D D
  • Exchange/Sell/Buy

    Swindle
  • A ? B A ? B
  • D D ND D
  • Give
    Steal

10
Templates
11
Prominent Physical Possession Transfer Verbs
  • Exchange
  • Sell/Buy (represented by 1 template)
  • Swindle
  • Donate
  • Give
  • Steal
  • Share
  • Lend
  • Borrow
  • All other verbs get classified into stacks!

12
Facilities and Equipment Requirements
  • Scientific papers from various MIT facilities and
    CSAIL resources
  • Computer

13
Progress and Schedule
  • Academic advisor Prof. Winston
  • Summer/ Fall 2003 UROP work
  • IAP 2004 Model for physical possession
  • Spring 2004 6.170
  • Model for abstract possession
  • Develop learning algorithm
  • Year 2004/2005 More A.I. courses
  • Implementation (in Java)

14
Risks
  • FUNDING!!!

15
Bridge Vision
  • If we are to fully understand intelligence, we
    need to provide a substrate for abstract thinking

16
Bridge Steps
  • Select some abstract domains and determine the
    information needed by agents to work in such
    domains
  • Determine a method to obtain this information
    using knowledge confined within the Bridge
    Projects world
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