Smart Machines: Smart Machines Elaine Rich
Department of Computer Sciences
One Vision of an AI: One Vision of an AI
A Calmer Vision: A Calmer Vision
Could AI Stop This?: Could AI Stop This?
Smart Machines: Smart Machines What can we do?
Two important ideas
What People Do Best: >What's the point of war?
ALICE: The point is at the top of my head!
>Why?
ALICE: The explanation is rather complicated.
>okay, give me a hint.
ALICE: Yeah okay, You want only one?
>sure
ALICE: OK let's do it. Hurrah!
What People Do Best
Taking the SAT Exam: Taking the SAT Exam QUESTION: Sodium azide is used in air bags to rapidly produce gas to inflate the bag. The products of the decomposition reaction are:(a) Na and water.(b) Ammonia and sodium metal.(c) N2 and O2(d) Sodium and nitrogen gas.(e) Sodium oxide and nitrogen gas. (d) Sodium and nitrogen gas.
Slide8: SYSTEM-GENERATED ANSWER:
# What are the products of the given decomposition reaction?
By definition, oxidation-reduction reactions occur when electrons are transferred from the atom that is oxidized to the atom that is reduced. We need to look for changes in the oxidation states of the elements in the reaction.
In the reactants, the oxidation state(s) of the element Na is/are (1). In the product, the oxidation state(s) is/are (0). Therefore, the reaction causes a change in oxidation state.
Therefore, this is an oxidation reduction reaction.
By definition, a Binary Ionic-Compound Decomposition Reaction occurs when a binary ionic compound is heated.
Therefore, this reaction is a Binary-Ionic Compound Decomposition reaction.
In general, a Binary Ionic-Compound Decomposition Reaction converts a binary ionic-compound into basic elements.
In this reaction, NaN3 reacts to produce Na and N2. # The products of the decomposition reaction are: (d) Sodium and nitrogen gas. The work of Bruce Porter et al here at UT
People Again: People Again http://www.captcha.net/
The Mars Rover: The Mars Rover
Sandstorm: Sandstorm March 13, 2004 - A DARPA Grand Challenge: an unmanned offroad race, 142 miles from Barstow to Las Vegas.
People Again: People Again >What's the best place to eat Chinese food?
ALICE: My favorite places are California and Maine. Holland is cool too.
>What do you like about Maine?
ALICE: The special effects are the best.
But We Can …: But We Can … ACUTE CARE SYSTEMS
(Dugas et al. 2002) Decision support in hepatic surgery
POEMS (Sawar et al., 1992) Post-operative care decision support
VIE-PNN (Miksch et al., 1993) Parenteral nutrition planning for
neonatal ICU
NéoGanesh (Dojat et al., 1996) ICU ventilator management
SETH (Darmoni, 1993) Clinical toxicology advisor
LABORATORY SYSTEMS
GERMWATCHER (Kahn et al.,1993) Analysis of nosocomial infections
HEPAXPERT I, II (Adlassnig et al., 1991) Interprets tests for hepatitis A and B
Acid-base expert system (Pince, et al., 1990) Interpretation of acid-base disorders
MICROBIOLOGY/PHARMACY Monitors renal active antibiotic dosing
(Morrell et al., 1993)
PEIRS (Edwards et al., 1993) Chemical pathology expert system
PUFF (Snow et al., 1988) Interprets pulmonary function tests
Pro.M.D.- CSF Diagnostics Interpretation of CSF findings
(Trendelenburg, 1994)
Slide14: EDUCATIONAL SYSTEMS
DXPLAIN (Barnett et al., 1987) Internal medicine expert system
ILLIAD (Warner et al., 1988) Internal medicine expert system
HELP (Kuperman et al., 1991) Knowledge-based hospital information
system
QUALITY ASSURANCE AND ADMINISTRATION
COLORADO MEDICAID UTILIZATION Quality review of drug prescribing
REVIEW SYSTEM practices
MANAGED SECOND SURGICAL Aetna Life and Casualty assessor system
OPINION SYSTEM
MEDICAL IMAGING
PERFEX (Ezquerra et al., 1992) Interprets cardiac SPECT data
(Lindahl et al. 1999). Classification of scintigrams
The Origins of AI Hype: The Origins of AI Hype 1950 Turing predicted that in about fifty years "an average interrogator will not have more than a 70 percent chance of making the right identification after five minutes of questioning".
1957 Newell and Simon predicted that "Within ten years a computer will be the world's chess champion, unless the rules bar it from competition."
Was Turing Right?: Was Turing Right? >Who invented paper towels?
ALICE: The Chinese, long before Europeans.
>Who invented pet rocks?
ALICE: The Wright Brothers.
>Who invented Barbie dolls?
ALICE: Thomas Edison.
How Far Have We Come – The Turk: How Far Have We Come – The Turk http://www.theturkbook.com
Chess Today: Chess Today In 1997, Deep Blue beat Garry Kasparov.
Robocup: Robocup http://www.cs.utexas.edu/users/AustinVilla/legged/RoboCup2003/5.ut_vs_germany_goalie_save.mpg
MT - We’d Rather Leave this to the Machines than Soccer: MT - We’d Rather Leave this to the Machines than Soccer Austin Police are trying to find the person responsible for robbing a bank in Downtown Austin.
El policía de Austin está intentando encontrar a la persona responsable de robar un banco en Austin céntrica.
The police of Austin is trying to find the responsible person to rob a bank in centric Austin.
MT - The Limits: MT - The Limits A Florida teen charged with hiring an undercover policeman to shoot and kill his mother instructed the purported hitman not to damage the family television during the attack, police said on Thursday.
Un adolescente de la Florida cargado con emplear a un policía de la cubierta interior para tirar y para matar a su madre mandó a hitman pretendida para no dañar la televisión de la familia durante el ataque, limpia dicho el jueves.
An adolescent of Florida loaded with using a police of the inner cover to throw and to kill his mother commanded to hitman tried not to damage the television of the family during the attack, clean said Thursday.
MT - The Limits: MT - The Limits http://www.shtick.org/Translation/translation47.htm
Why Is It So Hard?: Why Is It So Hard? Sue caught the bass with her new rod.
Why Is It So Hard?: Why Is It So Hard? Sue caught (the bass) (with her new rod).
Why Is It So Hard?: Why Is It So Hard? Sue caught the bass with the dark stripes.
Why Is It So Hard?: Why Is It So Hard? Sue caught (the bass with the dark stripes).
Why Is It So Hard?: Why Is It So Hard? Sue played the bass with her new bow.
Why Is It So Hard?: Why Is It So Hard? Sue played the bass with her new bow.
Sue played the bass with her new beau.
Why Is It So Hard?: Why Is It So Hard? Olive oil
Why Is It So Hard?: Why Is It So Hard? Olive oil
Why Is It So Hard?: Why Is It So Hard? Peanut oil
Why Is It So Hard?: Why Is It So Hard? Coconut oil
Why Is It So Hard?: Why Is It So Hard? Baby oil
Why Is It So Hard?: Why Is It So Hard? Riding jacket
A Recent Loebner Prize Winner: A Recent Loebner Prize Winner > Why do you think people want to go to the moon?
Jabberwacky: You don't. Plastic and metal, perhaps. No flesh.
> Can you imagine life before plastic?
Japperwacky: Can you?
Sure. Milk came in glass bottles.
Jabberwacy: You can come here whenever you want. Iwill welcome you.
One Important Idea: One Important Idea People know a lot.
Another Important Idea: Another Important Idea Solving hard problems requires search in a large space. To play master-level chess requires searching about 8 ply deep. So about 358 or 21012 nodes must be examined.
Exponential Growth: Exponential Growth
But Chess is Easy: But Chess is Easy The rules are simple enough to fit on one page
The branching factor is only 35.
A Harder One: A Harder One John saw a boy and a girl with a red wagon with one blue and one white wheel dragging on the ground under a tree with huge branches.
How Bad is the Ambiguity?: How Bad is the Ambiguity? Kim (1)
Kim and Sue (1)
Kim and Sue or Lee (2)
Kim and Sue or Lee and Ann (5)
Kim and Sue or Lee and Ann or Jon (14)
Kim and Sue or Lee and Ann or Jon and Joe (42)
Kim and Sue or Lee and Ann or Jon and Joe or Zak (132)
Kim and Sue or Lee and Ann or Jon and Joe or Zak and Mel (469)
Kim and Sue or Lee and Ann or Jon and Joe or Zak and Mel or Guy (1430)
Kim and Sue or Lee and Ann or Jon and Joe or Zak and Mel or Guy and Jan (4862)
The number of parses for an expression with n terms is the n’th Catalan number:
Can We Get Around the Search Problem ?: Can We Get Around the Search Problem ?
How Much Compute Power Does it Take?: How Much Compute Power Does it Take? From Hans Moravec, Robot Mere Machine to Transcendent Mind 1998.
How Much Compute Power is There?: How Much Compute Power is There? From Hans Moravec, Robot Mere Machine to Transcendent Mind 1998.
Is There a Fundamental Difference Between Us and Them?: Is There a Fundamental Difference Between Us and Them? Two paintings done by Harold Cohen’s Aaron program:
Emotions: Emotions 1998 – now Kismet shows emotions sad surprise http://www.ai.mit.edu/projects/humanoid-robotics-group/kismet/
Understanding: Understanding Searle’s Chinese Room
Consciousness: Consciousness Me You