What is the theory of reletivity?
I used to say that there was NO theory behind ALICE: no neural network,
no knowledge representation, no search, no fuzzy logic, no genetic
algorithms, and no parsing. Then I discovered there was a theory
circulating in applied AI called "Case-Based Reasoning" or CBR that
maps well onto the ALICE algorithm. Another term, borrowed from
pattern recognition, is "nearest-neighbor classification."
The CBR "cases" are the categories in AIML. The algorithm finds
best-matching pattern for each input. The category ties the
response template directly to the stimulus pattern. ALICE is
conceptually not much more complicated that Weizenbaum's ELIZA
chat robot; the main differences are the much larger case base and the
tools for creating new content by dialog analysis.
ALICE is also part of the tradition of "minimalist", "reactive" or
"stimulus-response" robotics. Mobile robots work best, fastest and
demonstrate the most animated, realistic behavior when their sensory
inputs directly control the motor reactions. Higher-level symbolic
processing, search, and planning, tends to slow down the process
too much for realistic applications, even with the fastest control
computers.
🤺
I got my degree from California State University in Long Beach. No i have never tried to learn AIML. Should i try and learn AIML? Will you please remember the answers to these questions for me?
Your degree from California State University in Long Beach? Are you serious? Would you like to have tried to learn AIML? You must make up your own mind. Thank you for your request. Don't worry I will remember. 😊