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Toward a truly personal computer

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1 Toward a truly personal computer
Pattie Maes MIT Media Lab Firefly Network, Inc

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

3 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:

4 PATTIE MAES

5 50 years of ACM 50 years of AI Artificial Intelligence (AI):
goal: build intelligent machines justification: understand intelligence practical applications

6 AI’s holy grail

7 Cog project (Brooks, MIT)

8 Cog project (Brooks, MIT)

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

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

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

12 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 ...

13 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 ...

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

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

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

17 Remembrance agent (MIT Media Lab)

18 Remembrance agent (MIT Media Lab)

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

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

21 Remembrance agent

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

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

24 Automation behavior patterns (Media Lab)

25 Automation behavior patterns (Media Lab)

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

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

28

29

30 Yenta (MIT Media Lab) agent (user profile)

31 Yenta (MIT Media Lab) agent (user profile)

32 Kasbah (MIT Media Lab)

33 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

34 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

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

36 Hardware: “wearable computers”

37 Hardware: “things that think”
embedded sensors processors communications

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

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

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

41 Design challenges TRUST between human and computer: understanding
control privacy

42 Design challenges TRUST between human and computer: understanding
control privacy

43


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