building intelligent systems james harland, school of cs & it

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Building Intelligent Systems James Harland, School of CS & IT

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Page 1: Building Intelligent Systems James Harland, School of CS & IT

Building Intelligent SystemsJames Harland, School of CS & IT

Page 2: Building Intelligent Systems James Harland, School of CS & IT

2RMIT University©2010

Page 3: Building Intelligent Systems James Harland, School of CS & IT

3RMIT University©

Why do we need Intelligent Systems?

• New York Stock Exchange

• 33% of shares (by volume) traded by machines

• 40% of shares (by value) traded by machines

• Needs fast response time

Page 4: Building Intelligent Systems James Harland, School of CS & IT

4

Why do we need Intelligent Systems?

RMIT University©2010

The Robots are coming! The Robots are coming!”

• Mars Rover

• Home systems – vacuum, lawn mower, gutter cleaner

• Military systems --- mine clearance, sensing, weapons control, autonomous vehicles, …

• Sensor networks

• Exoskeletons and artificial limbs

• Rescue robots

• Fish, birds, dogs, insects, …

• …

Page 5: Building Intelligent Systems James Harland, School of CS & IT

5RMIT University©2010

Robots

Page 6: Building Intelligent Systems James Harland, School of CS & IT

6RMIT University©2010

What is Intelligence?

talk “Hello! How are you today. Could I please have a coffee?”

hear Interpret “er… so.. um… as I was saying, what? No! Coffee please!”

read Interpret “Time flies like an arrow. Fruit flies like a banana.”

think “Low on fuel, it’s getting dark, no clue where I am … Hmmmm….”

act Pick things up, move them, walk, build things, …

see Distinguish moving objects from static ones, colours, textures, …

adapt This isn’t working, so let’s try something else …

paint Make judgements about what is pleasing and what is not

Page 7: Building Intelligent Systems James Harland, School of CS & IT

7RMIT University©2010

Intelligent Systems in CS & IT

• Agent oriented programming

• Software that observes, thinks, acts and reacts

• Natural language processing and generation

• Software that can have a dialogue with humans

• Computational reasoning

• Software that can work out what to do

• Machine learning

• Software than can analyse, adapt and be trained

• Evolved Art

• Artistic collaboration with School of Media and Communication

• Interactive Toys

• Collaboration with XSiVE on toys which interact with children and grow with them

Page 8: Building Intelligent Systems James Harland, School of CS & IT

8RMIT University©2010

Questions?