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Title: Name: Jim DeLeo


1
  • Name Jim DeLeo
  • Profession Computer Scientist
  • Affiliation NIH Clinical Center
  • Relation Keen interest in applying
  • AI in medical sciences.
  • Question Why is it taking so long to
  • produce practical AI
  • products in medicine and
  • what can we do about it?

2
  • SECTION A 
  •     1.  Artificial Intelligence
  •     2.  Defining the AI Problem
  •     3.  What is an Agent?
  •     4.  AI is an Empirical Science
  •     5.  Alien-AI Engineering
  •     6.  Solving the AI Problem
  •     7.  Ambition Within Limits
  •     8.  Taking AI to Its Limits
  •     9.  Super-Human Intelligence
  •   10.  Neighboring Disciplines
  •   11.  AI and Psychology
  •   12.  Cognitive Psychology
  •   13.  Cognitive Science
  • 14. AI Philosophy

3
Artificial Intelligence
  • Products after 50 years of AI RD
  • Chess playing programs
  • Robots
  • Knowledge extraction from data
  • Surgical machinery
  • Terrorist activity detection
  • Missile target-detection systems

4
Defining the AI Problem
  • Understand man as a machine
  • General theory of intelligent activity
  • in generalized intelligent agents
  • Agent capabilities could extend
  • beyond what we now imagine
  • Bold enterprise
  • Age-old philosophical questions

5
What Is an Agent?
  • Anything with intelligent behavior
  • robots in physical environments
  • computer programs in virtual environments
  • Ensembles of agents
  • inspiration from ant colonies

6
AI As An Empirical Science
  • AI pioneer Marvin Minsky (b. 1927)
  • says The AI problem is one of the
  • hardest science has undertaken.
  • AI embraces science engineering
  • Strong-AI (AGI) machine capable of thought,
    consciousness emotion.
  • Weak-AI less audacious.

7
Alien-AI Engineering
  • AI Goal to build a machine with
  • intelligent behaviors.
  • Intelligence need not be emulation
  • of human or animal intelligence.
  • When it is not this is referred to as
  • Alien-AI

8
Solving the AI Problem
  • Strong-AI (AGI) to build machines with human
    and superhuman capabilities.
  • For most people working in AI the strong-AI
    debate is of little practical interest.

9
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10
Ambition Within Limits
  • Weak-AI explains human animal behavior to some
    extent.
  • Constructing intelligent machines is one way to
    understand intelligent action.
  • Strong-AI (AGI) is ambitious with goals that may
    not be achievable.
  • Strong-AI (AGI) is futuristic.
  • Weak-AI is practical and produces.

11
Taking AI to Its Limits
  • We cannot hold back AI any more than primitive
    man could have suppressed the spread of
    thinking.
  • - Doug Lenet Edward Feigenbaum
  • Strong-AI suggests that our mental life can be
    uploaded into a computer and enhanced, expanded
    and immortalized.
  • Transhumanists Extropians entertain this
    possibility.

12
Transhumanists Extropians
Mind Uploading
13
 Super-Human Intelligence
  • Brain design may limit intellectual capacity.
  • The brain can evolve through evolution and human
    engineering.
  • Brains built from more advanced machinery could
    result in super-human intelligence.
  • This is ultimate goal of AI for some.

14
Neighboring Disciplines
  • Certum quod factum (One is certain only of
    what one builds) Giambattista Vico (1668 1746)
  • AI attempts to understand cognition by building
    working models.
  • Psychology, philosophy, linguistics and
    neuroscience are also concerned with mental
    processes.
  • AIs goal of constructing machinery is supported
    by logic, mathematics and computer science.

15
AI and Psychology
  • Objectives of AI and psychology overlap.
  • Both aim to understand mental processes that
    underlie human and animal behavior.
  • Behaviorists say explanations of behavior should
    be based on observations not unobserved mental
    entities.
  • Psychologists began abandoning behaviorism in the
    later 1950s.
  • Instead of restricting study to stimulus-response
    relationships, internal mentalistic processes
    such as memory, learning reasoning were
    considered.

16
Cognitive Psychology
  • In the 1950s an approach to psychology based on
    a computational theory of mind began to emerge.
  • In 1957, Herbert Simon (1915-2001) said Within
    10 years psychology theories will take the form
    of computer programs.
  • By the end of the 1950s cognitive psychology had
    emerged as a branch of psychology concerned with
    explaining cognitive function in
    information-processing terms, and ultimately
    relying on the computer as a metaphor for
    cognition.

17
Cognitive Science
  • AI cognitive psychology have much in common.
  • This led to cognitive science - an
    interdisciplinary approach bringing AI and
    cognitive psychology together to understanding
    intelligent activity.
  • This books concepts fall within the domains of
    cognitive science and AI.

18
AI Philosophy
  • Most AI researchers agree that AI has an intimate
    reciprocal relationship with philosophy
  • epistemology
  • metaphysics
  • ontology

19
AI Photo Gallery
20
Daisy, daisy, give me your answer do. Im
h.a.l.f c..r.a.z..y a.ll fo.r t.he
l...o..ve o..f
you.
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