Download A Look at Pragmatic AI

A Look at Pragmatic AI
Toni Westbrook
Concord School District
Synthetic Dreams
Branches of AI
• Symbolic or “Classical AI”
– Concerned with rules and facts
– Mimics human expertise
• Strength: Expert systems, parsing, data-mining
• Weakness: Sensory/Motor systems, learning
• Connectionist
– Concerned with emulating brain
– Hardware improvements makes more viable
Parsing and Matching
1. Rumford Street Building 16 Apt #2
2. 16 Rumford St Apt 2
– Name matching
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Nickname database
Percentage matching
– Address matching
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Removing unnecessary data
Token replacement
– Poor individual probability, better combined
The Natural Computer
Neurophysiology
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Receives from dendrites, fires along axon
Excitatory and inhibitory neurons
Neurotransmitters, modulators
NMDA receptors, synapses
– The core of learning
TFNN Matrices
Associative Learning
• The Twizzler incident
• Tone-shock pairings
• Hebbian Plasticity
– “Neurons that fire together, wire together”
TFNN Experiment
Motor Control
Proto Amygdala
Left Antenna
Right Antenna
Major Issues to Overcome
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Much not understood
Genetic neural pre-configuration
Processing power
Deterministic vs. Non-Deterministic
Social, Ethical, Moral
– Rights, Treatment
– Copying, neural compilers/decompilers
Opportunities
• Recognition systems
– Biometric
– Forecasting
– Smart systems, safety systems
• Biotech industry
– Brain damage and aberration, nerve damage
– Increased “communication”
Thank You!
• Questions