Cognitive science course next semester

Here is the information about the course I will teach at UNAM next semester.

The course will introduce ongoing debates in cognitive science about our changing understanding of the mind. Instead of being thought of as a digital computer inside the brain, mind is now widely considered to be an embodied, embedded and extended activity in the world. These ideas will be illustrated based on case studies of research in agent-based models, complex systems and human-computer interfaces, with special emphasis on demonstrating how social interactions and technologies shape our mind.

Students are not expected to program models nor to design interfaces, but to understand the implications of the new cognitive science and to apply them to their own research interests.

The course will be taught mainly in English to better prepare students for the special terms used by leading researchers in cognitive science.

For an introduction to this field, see this video: http://vimeo.com/107691239

Here is the official course information:

Posgrado en Ciencia e Ingeniería de la Computación (PCIC)

Plan: Maestría en Ciencia e Ingeniería de la Computación (Clave 80-4014)
Actividad académica: Temas Selectos de Inteligencia Artificial
Tema: Agentes autónomos y multiagentes (o: “Agentes Autónomos, Sistemas Sociales, y la Nueva Ciencia Cognitiva”)
Horarios: Lunes y Miércoles, 11:30 – 13:00
Profesor: Dr. Tom Froese

The course program can be downloaded here.

Advertisements

Seminars on complexity and economics

FLYER TOM FROESE GUANAJUATOFollowing on from my model of the collective government of ancient Teotihuacan, I was invited by Dr. Pavel Kuchar from the University of Guanajuato in Mexico to give two seminars.

The first seminar is directed at a highly interdisciplinary audience interested in learning about the applications of complex systems research in various scientific fields (see the workshop poster to the right).

The second seminar is targeted at economists and sociologists. The aim is to discuss how recent studies of interaction dynamics might help to integrate the traditional micro and macro scales of social system research.

Two presentations on the role of destabilization

Last week I gave a poster presentation during the conference Complejidad y multidisciplina: El Centro de Ciencias de la Complejidad de la UNAM, which took place November 4-6, 2013 at Ciudad Universitaria, Mexico City.

“What doesn’t kill you, makes you stronger” A dynamical systems account by Tom Froese, Carlos Gershenson, and David A. Rosenblueth

I also gave the opening talk of the Segundo Coloquio Internacional de Ciencias Cognitivas, which took place November 7-8, 2013 in Cuernavaca, Mexico.

Can altered states of consciousness be adaptive? Two proofs of concept by Tom Froese

Click on the titles of the presentations for PDFs of the poster and the technical report of the talk.

Seminar: Mathematical approaches to exploring the social mind

Tomorrow I will give a presentation for the Mathematical Sociology group of UNAM. The title and abstract are as follows:

Mathematical approaches to exploring the social mind

Tom Froese

The sciences of man are sharply divided over the role played by sociality. On the one hand, cognitive science tries to reduce all explanations of behavior, including human social behavior, to a single person (and often even to nothing but a single organ: their brain). On the other hand, anthropology and sociology have long insisted that most (if not all) human behavior is an irreducible product of our shared socio-cultural environment. My research aims to build a bridge between these two viewpoints. In particular, I use mathematical models as formal proofs of concept for the possibility that the individual and the social co-determine each other. In order to illustrate this possibility I will present two case studies that are represent two different scales of sociality. First, I will briefly discuss a computer model of embodied agents in which a dyadic interaction process reconfigures the internal activity of each agent such that it exhibits mathematical properties that are in principle impossible for the agents in isolation. Second, I will present some results of a mathematical model that is loosely based on the social organization of the ancient Mexican city of Teotihuacan. The model demonstrates that local social interactions between agents who selfishly optimize their own utility can consistently give rise to globally optimal social configurations even without any a priori knowledge of the problem space.