31.3090, FYI: Ada Lovelace Day talk by David Barner Oct 13

[The LINGUIST List]

LINGUIST List: Vol-31-3090. Mon Oct 12 2020. ISSN: 1069 - 4875.

Subject: 31.3090, FYI: Ada Lovelace Day talk by David Barner Oct 13

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Date: Mon, 12 Oct 2020 20:51:12
From: Charles Reiss [charles.reiss at concordia.ca]
Subject: Ada Lovelace Day talk by David Barner Oct 13

 
https://sites.google.com/view/adaconcordia2020/home

Concordia University Celebrates

Ada Lovelace Day 2020

October 13th online at 6PM (18:00) EDT (GMT -4)

The Centre for Cognitive Science and the INDI Program at Concordia University,
present our first celebration of Ada Lovelace Day.

    Lea Popovic (Concordia: Math and Stats): A Brief Introduction to Ada
Lovelace
    Invited Speaker: David Barner (UC San Diego: Psychology, Linguistics, Math
and Science Education): Mechanical Paths to Mathematical Understanding: A
celebration of Ada Lovelace

    Please register via link at
https://sites.google.com/view/adaconcordia2020/home
for live event on Zoom and YouTube (you will receive a link before the event)

Abstract: In her commentary on the "Analytical Engine" created by her friend
and colleague Charles Babbage, Ada Lovelace, sometimes called the world's
first computer programmer, distinguished between the mechanical and rational
labors of mathematics. Also, Lovelace was the first to recognize the power of
computing devices to transcend mathematical calculations, to support reasoning
about any domain of human experience. Lovelace's discourse poses the question
of how clearly we can distinguish between mechanical and rational processes.
Also, it raises the question of how each originates in the human mind, and
what causal relations might exist between purely mechanical computations and
moments of rational insight that lead humans to derive axioms, notice
analogies between different representational formats (e.g., geometry and
algebra), or to create new representational formats altogether. In this talk,
I argue that the mechanical labors of the mind - particularly in the case of
mathematics - allow humans to discover rational insights that otherwise would
not be available to them, and that our most profound mathematical discoveries
hinge upon learning from, and about, the mechanical rules of thought. To make
this case, I present evidence from children's acquisition of counting
procedures, and how this learning fuels their discovery that numbers, space,
and time are infinite. I also argue that the logic that underpins these
computations is fundamentally linguistic, and depends on the computational
engine provided by human natural language.

Contact: cognitivescienceAE?concordia.ca

https://sites.google.com/view/adaconcordia2020/home

 



Linguistic Field(s): Cognitive Science

Subject Language(s): Abar (mij)





 



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