Approaches to A. I.

Approaches to A. I. Human Rational Thinking Acting

(Artificial) Neural Networks • Biological inspiration • Synthetic networks • non-Von Neumann • Machine learning • Perceptrons – MATH • Perceptron learning • Varieties of Artificial Neural Networks

Brain - Neurons 10 billion neurons (in humans) Each one has an electro-chemical state

Brain – Network of Neurons Each neuron has on average 7,000 synaptic connections with other neurons. A neuron “fires” to communicate with neighbors.

Modeling the Neural Network

von Neumann Architecture Separation of processor and memory. One instruction executed at a time.

Animal Neural Architecture von Neumann Birds and bees (and us) Each neuron has state and processing Massively parallel, massively interconnected. • Separate processor and memory • Sequential instructions

The Percepton • A simple computational model of a single neuron. • Frank Rosenblatt, 1957 • The entries in are usually real-valued (not limited to 0 and 1)

The Perceptron

Perceptrons can be combined to make a network

How to “program” a Perceptron? • Programming a Perceptron means determining the values in . • That’s worse than C or Fortran! • Back to induction: Ideally, we can find from a set of classified inputs.

Perceptron Learning Rule Training data: Valid weights: Perceptron function:

Varieties of Artificial Neural Networks • Neurons that are not Perceptrons. • Multiple neurons, often organized in layers.

Feed-forward network

Recurrent Neural Networks

Hopfield Network

On Learning the Past Tense of English Verbs • Rumelhart and McClelland, 1980s

On Learning the Past Tense of English Verbs

Neural Networks • Alluring because of their biological inspiration • degrade gracefully • handle noisy inputs well • good for classification • model human learning (to some extent) • don’t need to be programmed • Limited • hard to understand, impossible to debug • not appropriate for symbolic information processing

Approaches to A. I.

Approaches to A. I.

Presentation Transcript

approaches to criticism

Approaches to Valuation

Approaches to Psychology

APPROACHES TO TRANSLATION

Approaches to Infinity

APPROACHES TO ASSESSMENT A/S

A Storm Approaches

APPROACHES TO PSYCHOLOGY

Field Approaches to Control Part - I

Approaches to Discourse

Approaches to studying

Approaches to Quality

Social Organisation Approaches I

Approaches to Paleoceanography

Approaches to Investing

Moral – Approaches I

Six Approaches to

Approaches to a VULNERABILITY Assessment

APPROACHES TO BUILDING A WBS

Monitoring Approaches – Part I

I. The Topic – Approaches: Items to consider

Approaches To Get A Perfect Tone