Date: May 8th (Wednesday), 3:00pm (Warsaw time)
Join us on Zoom: https://uw-edu-pl.zoom.us/my/hill.meetings
Local Minima Drive Communication in Cooperative Interaction
Abstract
An important open question in human-robot interaction (HRI) is precisely when an agent should decide to communicate, particularly in a cooperative task. Perceptual Control Theory (PCT) tells us that agents are able to cooperate on a joint task simply by sharing the same ‘intention’, thereby distributing the effort required to complete the task among the agents. This is even true for agents that do not possess the same abilities, so long as the goal is observable, the combined actions are sufficient to complete the task, and there is no local minimum in the search space. If these conditions hold, then a cooperative task can be accomplished without any communication between the contributing agents. However, for tasks that do contain local minima, the global solution can only be reached if at least one of the agents adapts its intention at the appropriate moments, and this can only be achieved by appropriately timed communication. In other words, it is hypothesised that in cooperative tasks, the function of communication is to coordinate actions in a complex search space that contains local minima. These principles have been verified in a computer-based simulation environment in which two independent one-dimensional agents are obliged to cooperate in order to solve a two-dimensional path-finding task.
Reading
This talk is a part of the Traincrease Lecture Series (D4.2).
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 952324.
