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London Judgement and Decision Making seminars

The LJDM seminar series is supported by

University College London

City University London

Originally established at UCL in the early 1970’s as a weekly Cognition and Reasoning seminar, it later became an intercollegiate seminar on Language and Cognition in the early 1980’s. 

The name LJDM was finally coined in 1990, and the group has been running seminars under this name ever since, with lecturers and researchers in and around the UK meeting on a regular basis to discuss judgment and decision making, judgments of likelihood, reasoning, thinking, problem solving, forecasting, risk perception and communication, and other related topics.

If you would like to present your research to the group or to suggest a speaker, please contact the organizer, Neil Bramley (neil.bramley@ucl.ac.uk).

Unless specified otherwise, all seminars take place on Wednesdays at 5pm, in Room 313 at the Psychology Department, University College London (on the corner of Bedford Way, Gordon Square and Torrington Place, London WC1H 0AP). Map.

To get updates on the current schedule and weekly reminders of the seminars, please subscribe to the Risk and Decision mailing list.

All are welcome to attend.

Term 1 Seminar Schedule

October – December 2017

05.10.2016

Neural Mechanisms of Hierarchical Planning in a Virtual Subway Network

Jan Balaguer

University of Oxford

Planning allows actions to be structured in pursuit of a future goal. However, in natural environments, planning over multiple possible future states incurs prohibitive computational costs. To represent plans efficiently, states can be clustered hierarchically into “contexts”. For example, representing a journey through a subway network as a succession of individual states (stations) is more costly than encoding a sequence of contexts (lines) and context switches (line changes). Here, using functional brain imaging, we asked humans to perform a planning task in a virtual subway network. Behavioral analyses revealed that humans executed a hierarchically organized plan. Brain activity in the dorsomedial prefrontal cortex and premotor cortex scaled with the cost of hierarchical plan representation and unique neural signals in these regions signaled contexts and context switches. These results suggest that humans represent hierarchical plans using a network of caudal prefrontal structures.

12.10.2016

Omissions and Expectations

Pascale Willemsen

Ruhr University Bochum, Germany

TBC

19.10.2016

The role of mood in reward learning: function and dysfunction

Eran Eldar

University College London, UK

Unexpected rewards impact our mood, which may in turn impact our evaluation of subsequent rewards. I will show how this two-way interaction between mood and reward learning may serve an adaptive role, ‘correcting’ learning to account for general changes in reward availability in the environment. I will then present evidence indicating that this mechanism can also have maladaptive consequences, in particular by engendering mood instability, which may contribute to psychiatric mood disorders.

26.10.2016

Compositional inductive biases in human function learning

Eric Schulz

University College London, UK

Function learning lies at the core of everyday cognition. From learning which stimulus will lead to reward all the way to how other people's intentions influence their actions, almost any task requires the construction of mental representations that map inputs to outputs. Since the space of such mappings is infinite, inductive biases are necessary to constrain plausible inferences. What is the nature of the human inductive biases over functions? How do people deal with complex functions that are not easily captured by standard learning algorithms?

Insight into this question is provided by the observation that many complex functions encountered in the real world can be broken down into compositions of simpler form.  We pursue this idea theoretically and experimentally, by first defining a hypothetical compositional grammar for intuitive functions and then investigating whether this grammar quantitatively predicts human learning, pattern completion, and memory and change detection performance. We end by speculating that compositionality is a necessary requirement for intelligent behaviour.

02.11.2016

Risk taking and information aggregation in groups: Reverse confirmation bias

Jeroen Nieboer

LSE, UK

We conducted a controlled laboratory experiment examining information aggregation in groups facing a common risk. The experiment allows us to examine how subjects respond to new information, in the form of both privately observed signals and signals reported by others. Our specific interest is in situations where Bayesian updating predicts no change in risk taking after receiving new information from others, but confirmation bias predicts that people's risk taking will tend towards the direction of their private signal. We find considerable heterogeneity in responses. Most surprising, we find that the majority of non-Bayesian subjects exhibits ‘reverse confirmation bias’: they place less weight on information from others that agrees with their private signal and more weight on conflicting information. This tendency is only significant when signal sharing is structured as a group discussion - without a discussion, non-Bayesian deviations do not follow a systematic pattern.

16.11.2016

TBC

Miroslav Sirota

TBC

23.11.2016

TBC

Johanna Thoma

TBC

30.11.2016

TBC

Sophie Stamers

TBC

07.12.2016

Reward and decision making

Matthew Apps

University of Oxford, UK

TBC

14.12. 2016

Internally driven strategy shifts

Nicolas Schuck

Princeton University, UK

TBC

Archive (past seminars)

Download the abstracts (PDF)