Toward a truly personal computer

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Presentation transcript:

Toward a truly personal computer Pattie Maes MIT Media Lab Firefly Network, Inc pattie@media.mit.edu

THE NEXT 50 YEARS OF COMPUTING ACM 97 THE NEXT 50 YEARS OF COMPUTING

ACM 97 THE NEXT 50 YEARS OF COMPUTING Copyright  1997 ACM, Association for Computing The files on this disk or server have been provided by ACM. Copyright and all rights therein are maintained by ACM. It is understood that all persons copying this information will adhere to the terms and constraints invoked by ACM’s copyright. These works may not be reposted without the explicit permission of ACM. Reuse and/or reposting for noncommercial classroom use is permitted. Questions regarding usage rights and permissions may be addressed to: permissions@acm.org

PATTIE MAES

50 years of ACM 50 years of AI Artificial Intelligence (AI): goal: build intelligent machines justification: understand intelligence practical applications

AI’s holy grail

Cog project (Brooks, MIT)

Cog project (Brooks, MIT)

Next 50 yrs: IA rather than AI? Intelligence Augmentation: human + machine = super intelligence

Next 50 yrs: IA rather than AI? Intelligence Augmentation: human + machine = super intelligence

History of prosthetics Overcoming physical limitations: glasses hearing aids cars bicycles voice synthesizers ...

Why do we need prosthetics for the mind? Overcoming cognitive limitations: lousy memory only dealing with one thing at a time probabilities, logic non-intuitive slow to process large amounts of information ...

Why do we need prosthetics for the mind? mismatch complexity of our lives & our cognitive abilities: too many things to keep track of information overload learn & remember more ...

People are good at: judgement understanding reasoning, problem solving creativity

Computers are good at: remembering lots of facts searching lots of information being in many places at once multi-tasking

Some examples of intelligence augmentation memory augmentation “extra eyes, ears” automation behavior patterns information filtering matchmakers transactions

Remembrance agent (MIT Media Lab)

Remembrance agent (MIT Media Lab)

Memory augmentation help remember people, places, names, actions, ... provide "just-in-time" information

Memory augmentation help remember people, places, names, actions, ... provide "just-in-time" information

Remembrance agent

Extra eyes, ears, ... monitors for bits as well as atoms: unusual price stocks has certain site changed? need more milk? is there fresh coffee? ...

Extra eyes, ears, ... monitors for bits as well as atoms: unusual price stocks has certain site changed? need more milk? is there fresh coffee? ...

Automation behavior patterns (Media Lab)

Automation behavior patterns (Media Lab)

Information Filtering personal INFO information FILTERED INFO user filter user interest profile

Information Filtering personal INFO information FILTERED INFO user filter user interest profile

Yenta (MIT Media Lab) agent (user profile)

Yenta (MIT Media Lab) agent (user profile)

Kasbah (MIT Media Lab)

Kasbah example selling agent Sell: Macintosh IIci Deadline: March 10th,1997 Start price: $900.00 Min. price: $700.00 Strategy: tough bargainer Location: local Level of Autonomy: check before transaction Reporting Method: event driven

Kasbah example selling agent Sell: Macintosh IIci Deadline: March 10th,1997 Start price: $900.00 Min. price: $700.00 Strategy: tough bargainer Location: local Level of Autonomy: check before transaction Reporting Method: event driven

Putting it all together Example scenarios: monitoring agents & remembrance agents shopping agents & matchmaking agents eager assistants & filtering agents ...

Hardware: “wearable computers”

Hardware: “things that think” embedded sensors processors communications

Software: “Agents” Software that is: personalized proactive autonomous, long-lived adaptive

Software: “Digital Ecologies” collections of people & machines: perform tasks in radically distributed way very adaptive collaboration, competition, natural selection & evolution

“The network is the computer”TM small efforts by many, rather than large efforts by few result in increased: efficiency adaptivity robustness

Design challenges TRUST between human and computer: understanding control privacy

Design challenges TRUST between human and computer: understanding control privacy