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Some Thoughts to Consider 12

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Some Thoughts to Consider 12 ... there exist many probabilistic alternatives for reasoning under ... Hybrid Intelligent Systems When single approaches and ... – PowerPoint PPT presentation

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Title: Some Thoughts to Consider 12


1
Some Thoughts to Consider 12
  • All of our study thus far has centered on
    knowledge representation for agents that use
    certain knowledge, using First Order Logic or
    FOL-equivalent representations.
  • In reality, agents never have access to the
    whole truth about their environment. They must
    act in the presence of uncertainty,
    incompleteness, and incorrectness.
  • Therefore, there exist many probabilistic
    alternatives for reasoning under uncertainty in
    the AI tradition. All are incomplete attempts at
    solving a very hard problem.
  • CYC is a very large repository and reasoning
    engine for human common sense knowledge. What
    kinds of questions would one expect CYC to
    answer? What is the importance of CYC to the AI
    community?

2
Hybrid Intelligent Systems
  • When single approaches and techniques are not
    sufficient to solve a problem, it is possible to
    combine techniques in very interesting ways. The
    following are such hybrids
  • Neural Expert System
  • Neuro-Fuzzy System
  • Adaptive Neuro-Fuzzy Inference System
  • Evolutionary Neural Network
  • Fuzzy Evolutionary System

3
The Nature of Planning
  • Planning can be viewed as a type of problem
    solving in which an agent uses beliefs about
    actions and their consequences to search for a
    solution over the more abstract space of plans,
    rather than over the space of situations
    (states).
  • Most planning systems represent states and
    operators in the STRIPS language.
  • STRIPS - Stanford Research Institute Problem
    Solver.
  • Now it is SRI International.
  • Now it is a planner, not a problem solver.
  • STRIPS operators have 3 components
  • Action description.
  • Precondition.
  • Effect.
  • Typical planner agents are regression planners
    that start with goal states and work backward to
    successively find preconditions and operators
    that achieve them. A solution to the plan is
    found when all preconditions to all the plan
    steps are satisfied.
  • Knowledge representation for planning is similar
    to that for problem solving, except that the
    knowledge is one level of abstraction higher.
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