Introduction to Artifical Intelligence Jitendra Malik U.C. Berkeley Jitendra Malik U.C. Berkeley.

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Presentation transcript:

Introduction to Artifical Intelligence Jitendra Malik U.C. Berkeley Jitendra Malik U.C. Berkeley

BRAIN

Imaging the Brain

Some facts… 100 Billion neurons On average, connected to 1 K others Neurons are slow. Firing rates < 100 Hz. Can be classified into –Sensory –Motor –Central 100 Billion neurons On average, connected to 1 K others Neurons are slow. Firing rates < 100 Hz. Can be classified into –Sensory –Motor –Central

Sensory Systems Vision (nearly 30-50% ) Audition (nearly 10%) Somatic Chemical –Taste –Olfaction Vision (nearly 30-50% ) Audition (nearly 10%) Somatic Chemical –Taste –Olfaction

Motor Systems Locomotion Manipulation Speech Locomotion Manipulation Speech

Central Systems Reasoning and problem solving Language …….. Reasoning and problem solving Language ……..

NEURON

Trends in biological and machine brain evolution Hans Moravec: ROBOT

Moravec’s argument 1 neuron = 1000 instructions/sec 1 synapse = 1 byte of information Human brain then processes 10^14 IPS and has 10^14 bytes of storage In 2000, we have 10^9 IPS and 10^9 bytes on a desktop machine In 25 years, assuming Moore’s law we obtain human level computing power 1 neuron = 1000 instructions/sec 1 synapse = 1 byte of information Human brain then processes 10^14 IPS and has 10^14 bytes of storage In 2000, we have 10^9 IPS and 10^9 bytes on a desktop machine In 25 years, assuming Moore’s law we obtain human level computing power

How Intelligence could have begun… V. Braitenberg: Vehicles, Experiments in Synthetic Psychology

Agents and Environments

Reflex agent with state

Goal-oriented agent

Utility-based agent