A Look at Pragmatic AI

Toni Westbrook

Concord School DistrictSynthetic 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

• Nickname database• Percentage matching

– Address matching• Removing unnecessary data• Token replacement

– Poor individual probability, better combined

The Natural Computer

Neurophysiology

• 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

Left Antenna Right Antenna

Proto Amygdala

Motor Control

Major Issues to Overcome

• 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