From behavioral measurements to models that behave

Organisers: Warren Mansell, School of Health Sciences, University of Manchester, Manchester, UK and Alex Gomez-Marin, Institute of Neuroscience, CSIC-UMH, Alicante, Spain

Schedule: Thursday 7th June 10:00 - 12:30, G26


Measuring behavior is not enough to understand it. For instance, the behavior of a fan controls its output, while a thermostat controls its input using its behavior. This distinction is crucial, since one must then acknowledge that behavior in humans, animals and robots, to be adaptive, has to be a closed-loop process. One can then discover the perceptual variables that the organism controls, which is different from how it responds to certain stimuli. To some extent, building is more challenging than intervening or fixing: grounded in (but not restricted to) behavioral measurements, a model that behaves can be more insightful than a model of behavior. Complementary to classification and extrapolation, we seek to discuss relevant methods and techniques to build and test generative models of behavior whose parameters are derived from empirical data.


10:00-10:20        Benjamin Hawker and Roger Moore
Deriving Hierarchical Control Structures to Produce Measurable Complex Behaviour
10:20-10:40        Shaktee Sindhu, Tauseef Gulrez, Maximilian Parker and Warren Mansell
Measuring Behaviour as Perceptual Control Using Human Simulations of Predator and Prey Pursuit
10:40-11:00        Maximilian Parker, Sarah Tyson, Andrew Weightman and Warren Mansell From Measurement to Models to Movements: Reproducing Human Tracking Performance with a Model Driven Steering Wheel.
11:00-11:30    Coffee   
11:30-11:50        Vyv Huddy
Acquisition of Control in a Complex Dynamic System Task: Computational Modelling of Spontaneous Improvements in Performance
11:50-12:10        Adam Matic and Alex Gomez-Marin
Perceptual Origins of Geometric-Kinematic Constraints in Human Drawing
12:10-12:30        Alex Gomez-Marin, Shruthi Ravindranath, Gerald Loeb and Rui Costa
Confident in Teaching, Ignorant in Learning: Reorganization and Good-Enough Control in Rodents, Humans and Simulations