Download Creating AI: A unique interplay between the development of learning

CREATING AI: A UNIQUE INTERPLAY
BETWEEN THE DEVELOPMENT OF
LEARNING ALGORITHMS AND THEIR
EDUCATION
Authors: Anat Treister-Goren and Jason L.
Hutchens
Presentation by: Carlos Fernández Musoles
INTRODUCTION
Alan Turing “Can machines think?” = Turing
Test: conversational scenario, whereby if a
human interrogator cannot distinguish between a
machine and a human, then it can be said to be
thinking.
 Artificial Intelligence NV (Ai) goal is to create a
machine capable of passing the Turing Test.
 Currently: HAL has a level of a 18 month child.
 Equal importance to the development of learning
algorithms and their training and evaluation.
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OVERVIEW


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Difficult to simulate adult level conversation
Turing suggestion: instead produce a programme to
simulate the child’s, and then subject it to appropriate
education to develop it to an adult level.
Traditional approach
Fixed grammatical rules are sufficient.
 Failed to learn the essence of human intelligence.

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Ai approach
More behaviouristic approach: stimuli from the
environment (feedback) – response from the system
(learning)
 Black box model (architecture is not important, behaviour
is)

HAL’S ARCHITECTURE
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Black box system from the trainer point of view
Internally, two models: one makes predictions about the
symbol it is likely to observe next (probability distribution);
the second calculates correlations between HAL’s
behaviour and reinforcement from the trainer
The development team help improving learning algorithms
HAL’S ARCHITECTURE


Conversation HAL-trainer is enough to go from babbling
in characters to generating meaningful sequences of
words
Feedback information is given in an intuitive way
 Trainer
can edit HAL’s sentences by adding / deleting
characters (with gives reinforcement)
TRAINING AND EVALUATION
Our perception of intelligence is influenced by
our expectations (monkeys, children, lecturers...)
 Setting different levels to be achieved by HAL
helps in the learning
 HAL is given specific reinforcement on each level
to achieve the necessary lingual behaviours

‘15 MONTH OLD’ MILESTONE
HAL’s performance comparable to a 15-month-old child
Example:
‘18 MONTH OLD’ MILESTONE
Vocabulary grows, start combining words
 Remarkable: ‘monkeys eat bananas’; HAL
remembered a previous conversation about zoo.

CONCLUSION
HAL can successfully learn up to a 18 month
child level with the development-training model
 Good start point, but how do we jump from here
to other basic aspects of our intelligence? Eg:
abstract reasoning, creativity, independent
thought...


This model does not seem complex enough to achieve
these.