Program

We’re pleased to announce the ICIS 2020 program. Click on the tabs below to review the program by day. Expand/close the text boxes to view the session descriptions.

(Please note, program may be subject to change)

08:30 – 15:30

Pre-Congress Workshops

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17:00 – 18:00

Presidential Address: Lisa Oakes, ICIS President

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18:30 – 20:00

Presidential Reception: Glasgow Science Centre

08:30 – 09:30

Keynote Speaker: Joseph Call

Joseph Call, University of St Andrews

Topic: Comparative Cognition

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09:30 – 09:45

Transition break


09:45 – 11:15

DARPA Symposium: Machine Common Sense: Using Infant Psychology to Build Better AI

Organiser: Victoria Romero, Next Century

Modern Artificial Intelligence is capable of impressive feats of learning, such as face recognition, voice to text transcription, and predictive customer support. However, it remains remarkably free of common sense. Although AI programs can provide simple factual information quickly, they are notoriously bad at the types of simple comprehension that humans find effortless. Asking Google “Who was president when Lincoln was born?” yields a lot of information about Lincoln, but none at all about James Madison (who was president when Lincoln was born). Asking a machine if an elephant can fit through a doorway results in a lot of jokes, but no information that would help a robot decide if it might reasonably attempt such a deed. To date, even advanced machine learning algorithms provide only narrow, very specialized “intelligence,” and their path to this content is often obscured in a black box.  Common sense—the things that almost all people understand about how the world works—has never been successfully instilled in a machine. This is partly because common sense relies on background knowledge that human beings accumulate as we develop from conception into adulthood. This is knowledge that includes intuitions such as how the physical world works, how people are motivated, and how agents and objects interact. Therefore, in attempting to build more human-like AI systems, we might do well to heed Alan Turing, who asked, “Instead of trying to produce a programme to simulate the adult mind, why not rather try to produce one which simulates the child’s?” A truly developmental approach to AI could yield breakthroughs that might be impossible with any other approach.

In the interest of advancing the science of Machine Common Sense (MCS), the U.S. Defense Advanced Research Projects Agency (DARPA) has funded a large-scale project that will allow close collaboration between developmental psychologists and AI engineers. This project involves three teams that will be working in the coming years to develop machine agents capable of responding in controlled circumstances as infants of various ages would normally respond in those circumstances. These teams represent a variety of theoretical viewpoints on how development and cognition proceeds in infancy. They consist of scientists from Harvard, MIT, IBM, and Stanford (Cora), Berkeley, Carnegie Mellon, and the University of Michigan (MESS), and Oregon State, New York University, and the University of Utah (OPICS). An additional team has been assigned the task of designing the virtual contexts and tasks in which the machine agents will be evaluated; this team, called PIAGET (Psychometric Intelligent Agent Graphical Environment and Testbed), consists of scientists from Next Century Corporation, Barnard College, New York University, the University of California at Davis, and Pitzer College/Claremont Graduate University. Today’s roundtable will feature representatives from DARPA as well as from each of the four teams working on this project. Short presentations by the panelists will be followed by a question-and-answer session. This symposium will keep infancy researchers abreast of the new MCS project, and afford the teams the opportunity to hear a variety of viewpoints at this nascent stage of the program.

Speakers:

DARPA: Matt Turek

Cora AI Team: Elizabeth Spelke (Harvard University) & Joshua Tenenbaum (MIT)

MESS AI Team: Alison Gopnik & Celeste Kidd (University of California- Berkeley)

OPICS AI Team: Karen Adolph (NYU)

PIAGET Evaluation Team: David Moore (Pitzer College/ Claremont Graduate University), Koleen McCrink (Barnard College, Columbia University), and Victoria Romero (Next Century)

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11:15 – 11:45

Coffee Break


11:45 – 13:15

Invited Session: Nivedita Mani

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13:15 – 14:30

Lunch Break (on own)


14:30 – 16:00

Invited Session: Maria de Hevia

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16:00 – 18:00

Posters and Exhibitors

08:30 – 09:30

Presidential Symposium

Sarah Lloyd Fox, University of Cambridge

Topic: Global Health – Gambia project

Seth Pollak, University of Wisconsin-Madison

Topic: Global Health – low SES in USA

Kim Noble, Columbia University

Topic: Global Health – SES disparities USA

Michael Thomas, Birkbeck, University of London

Topic: Global Health – genetics

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09:30 – 09:45

Transition break


09:45 – 11:15

Invited Session for early stage researchers and students: Diane Poulin Dubois

Diane Poulin Dubois, Concordia University

Working title: Top tips I have learned during my career

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11:15 – 11:45

Coffee Break


11:45 – 13:15

Views by 2: Group 1 - Bayesian models vs. Process models

Denis Mareschal, Birkbeck, University of London

Michael Frank, Department of Psychology, Stanford University

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Views by 2: Group 2 - Infant Social Cognition

Emese Nagy, University of Dundee

Victoria Southgate, University of Copenhagen

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Views by 2: Group 3 - Language

Larissa Samuelson, University of East Anglia

Judit Gervain, CNRS Paris, France

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13:15 – 14:30

Lunch Break (on own)


14:30 – 16:00

Invited Session: Dima Amso

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Student led symposium

Organised by the ICIS 2020 Student Committee

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16:00 – 18:00

Posters and Exhibitors

08:30 – 09:30

Keynote Speaker: Clare Elwell

Clare Elwell, University College London

Topic: Neuroscience/Methods/Global Health

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09:30 – 10:00

Awards / Business Meeting


10:00 – 12:00

Posters and Exhibitors


12:00 – 13:15

Lunch Break (on own)


13:15 – 14:45

Invited session: Vanessa Lobue

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14:45 – 15:00

Transition break


15:00 – 16:30

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16:30 – 16:45

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16:45 – 18:15

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