Today at 16:30 PDT, Harold
 
http://www.ai.sri.com/seminars/detail.php?id=495
 
 
From: [email protected] [mailto:[email protected]] On 
Behalf Of Rodrigo de Salvo Braz
Sent: Tuesday, August 02, 2016 12:34 PM
To: [email protected]
Subject: [aic-seminars] WebEx ADDED: Carl Hewitt on the Mathematical 
Foundations of the Internet of Things: August 2, today Tuesday, EK255, 4:30pm
 
WebEx available for this talk:
https://sri-meetings.webex.com/sri-meetings/j.php?MTID=m85085b3dfd4dcfcb25d303b425c7ef9e
  
<https://sri-meetings.webex.com/sri-meetings/j.php?MTID=m85085b3dfd4dcfcb25d303b425c7ef9e>
 
or go to www.webex.com, click on "Join" and enter meeting number 627 865 237.
Audio should work through WebEx. If not, try 1-888-355-1249, passcode 749045

Please note the unusual weekday and time: Tuesday, 4:30 pm. Coffee & cookies 
served at Richard Waldinger's office (EK292) at 4 pm. 
Note for visitors to SRI: Please arrive at least 10 minutes early as you will 
need to sign in by following instructions by the lobby phone at Building E. SRI 
is located at 333 Ravenswood Avenue in Menlo Park. Visitors may park in the 
parking lots off Fourth Street. Detailed directions to SRI, as well as maps, 
are available from the  <http://www.ai.sri.com/visiting> Visiting AIC web page. 
There are two entrances to SRI International located on Ravenswood Ave.  
<https://www.google.com/maps/@37.4562433,-122.1784962,3a,75y,89.83t/data=%213m4%211e1%213m2%211sREKhIDbL5iAMXlSOQlDDeQ%212e0>
 Please check the Builing E entrance signage.
  


SRI AIC Seminar
4:30PM Tuesday August 2, 2016
EK255 (SRI E building) (Directions <http://www.ai.sri.com/visiting> )
Mathematical Foundations of IoT:
Wittgenstein versus Gödel
Carl Hewitt
 <https://plus.google.com/+CarlHewitt-StandardIoT> 
https://plus.google.com/+CarlHewitt-StandardIoT
 
Foundations should be of interest to software and security engineers as a basis 
for the following:
•     rigorous, shared understanding between humans and their information 
systems
•     programming languages and models of computation adequate for IoT
•     reasoning about inconsistent information in IoT including their security 
properties
Any inconsistencies in the mathematical foundations of IoT will be exploited to 
create security violations. Unfortunately, software and security for IoT is 
developing into an even larger disaster for computer engineering than the one 
that we already have on our hands.
 
According to John von Neumann, Kurt Gödel was “the greatest logician since 
Aristotle.” Although still strongly supported by many contemporary 
theoreticians, his conceptions of computation and logical foundations have been 
made obsolete by developments in computer science. For example, Gödel declared 
that it is “absolutely impossible that anybody who understands the question 
[What is computation?] and knows Turing’s definition should decide for a 
different concept.” However, the Turing Machine model of computation left out a 
crucial aspect of computation, namely, communication among computers. In the 
Internet of Things one computer is no computer. This talk presents a very 
simple effective concurrent computation that cannot be performed using a 
(nondeterministic) Turing Machine, which illustrates how nondeterministic 
branching in state machines (such as Turing Machines) is not a good model for 
message reception in IoT. Gödel claimed that the Turing Machine model was 
supported when it was shown to have equivalent computational power in computing 
mathematical functions. However, the parallel lambda calculus can be 
exponentially slower than computations making use of communication that is not 
restricted to being strictly hierarchical.
 
Gödel claimed that “I'm unprovable.” is necessarily a proposition of Principia 
Mathematica, which was claimed at the time to be a foundation for all 
Mathematics. However, using an argument explained in this talk, Wittgenstein 
showed that Gödel's proposition leads to inconsistency in mathematics. In 
response, Gödel retreated to first-order logic in defense of his proposition. 
However in computer science, there are no known practical uses for Gödel's 
proposition. Worse yet, allowing Gödel's proposition has the false consequence 
that mathematics cannot not prove its own consistency. In fact, this talk shows 
that Mathematics proves its formal consistency using a very short formal proof. 
Mathematics retains its consistency because strongly typed logic shows that 
Gödel's proposition is not a valid proposition of mathematics.
 
Wittgenstein wrote “I predict a time when there will be mathematical 
investigations of calculi containing contradictions, and people will actually 
be proud of having emancipated themselves from consistency.” Gödel responded as 
follows: “He [Wittgenstein] has to take a position when he has no business to 
do so. For example, ‛you can't derive everything from a contradiction.’ He 
should try to develop a system of logic in what that is true.” However, 
information in IoT has pervasive inconsistencies because of intermittent 
connectivity among devices and multitudinous sources of information. 
Consequently, First-Order Logic (advocated by Gödel) cannot safely be used to 
reason about information in IoT. This talk will describe how a mathematical 
logic has been developed for validly processing inconsistent information in IoT.
Bio for Carl Hewitt 
Carl Hewitt is an emeritus professor of computer science (MIT) who is best 
known for his work on the Actor model of computation, which is in widespread 
use in eBay, Microsoft, Twitter, etc. For the last decade, his work has been in 
the field of Inconsistency Robustness, which aims to provide practical rigorous 
foundations for systems dealing with pervasively inconsistent information. He 
is co-editor with John Woods assisted by Jane Spurr of the monograph 
“Inconsistency Robustness” (Vol. 52 of Studies in Logic). 
Hewitt is currently Board Chair of the International Society for Inconsistency 
Robustness (iRobust™) and also Board Chair of Standard IoT™, an international 
standards organization for the Internet of Things, which is using the Actor 
Model to unify and generalize emerging standards for IoT. Also, he has been a 
Visiting Professor at Keio University and Stanford.
 
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