Dear all,
Dr. Thomas Shultz (McGill Psychology & School of Computer Science) will be speaking at the CRAM (Cognitive Research at McGill) Session this Friday, October 27, 11:45-12:45 PM (Room 735, 2001 McGill College).
His talk is titled, "Understanding the spread of innovation in wild birds: the importance of undecided states"
For a full abstract, see below the dashed line.
Please join us at this event! The full speaker list can be found herehttps://www.mcgill.ca/psychology/events-colloquia-0/brownbag-series. ——————————————————
"Understanding the spread of innovation in wild birds: the importance of undecided states" Thomas Shultz, McGill University
This talk discusses application of computational and mathematical models to recent experiments on social learning in wild birds, with comparisons of three distinct algorithms. Although some of the phenomena are simulated by all three learning algorithms, several manifestations of social conformity bias are simulated by only the Approximate Majority (AM) algorithm, which has roots in chemistry, molecular biology, and theoretical computer science. The simulations and mathematical analyses generate testable predictions and provide several explanatory insights into the diffusion of innovation through a population. AM’s success is based on its unique ability to convert agents from decided to undecided states, and raises the possibility of its usefulness in studying group dynamics more generally, in several different scientific domains and a variety of species. This work is the first application of AM in behavioural science and features a style of computer simulation (agent-based modeling) that is largely unknown in psychology. ___________________________________ Mehrgol Tiv Ph.D. Student, Psychology, McGill University Language and Multilingualism Lab *mehrgoltiv.comhttp://mehrgoltiv.com
Hello everyone,
Kind reminder that Dr. Thomas Shultz, McGill Psychology & Computer Science, will be speaking in today’s (October 27) CRAM session, 11:45-12:45 (2001 McGill College, Room 735)
His talk is titled, "Understanding the spread of innovation in wild birds: the importance of undecided states"
Feel free to bring your lunch and join us for this event!
___________________________________ Mehrgol Tiv Ph.D. Student, Psychology, McGill University Language and Multilingualism Lab *mehrgoltiv.comhttp://mehrgoltiv.com
On Oct 23, 2017, at 10:02 AM, Mehrgol Tiv <mehrgol.tiv@mail.mcgill.camailto:mehrgol.tiv@mail.mcgill.ca> wrote:
Dear all,
Dr. Thomas Shultz (McGill Psychology & School of Computer Science) will be speaking at the CRAM (Cognitive Research at McGill) Session this Friday, October 27, 11:45-12:45 PM (Room 735, 2001 McGill College).
His talk is titled, "Understanding the spread of innovation in wild birds: the importance of undecided states"
For a full abstract, see below the dashed line.
Please join us at this event! The full speaker list can be found herehttps://www.mcgill.ca/psychology/events-colloquia-0/brownbag-series. ——————————————————
"Understanding the spread of innovation in wild birds: the importance of undecided states" Thomas Shultz, McGill University
This talk discusses application of computational and mathematical models to recent experiments on social learning in wild birds, with comparisons of three distinct algorithms. Although some of the phenomena are simulated by all three learning algorithms, several manifestations of social conformity bias are simulated by only the Approximate Majority (AM) algorithm, which has roots in chemistry, molecular biology, and theoretical computer science. The simulations and mathematical analyses generate testable predictions and provide several explanatory insights into the diffusion of innovation through a population. AM’s success is based on its unique ability to convert agents from decided to undecided states, and raises the possibility of its usefulness in studying group dynamics more generally, in several different scientific domains and a variety of species. This work is the first application of AM in behavioural science and features a style of computer simulation (agent-based modeling) that is largely unknown in psychology. ___________________________________ Mehrgol Tiv Ph.D. Student, Psychology, McGill University Language and Multilingualism Lab *mehrgoltiv.comhttp://mehrgoltiv.com/