EXC 2002/1: Anticipation, Prediction, and Behavioural Reliability in Social Interactions (SP 10)

Agents with predictive skills can anticipate future events and thus have a major advantage over agents that cannot (Pezzulo et al., 2008; Winfield and Hafner, 2018). In a social setting, the ability to anticipate an interaction partner's future actions will allow to adaptively modulate own behavioural strategies (Moussaid et al., 2011). In a cooperative context, anticipation may help to enhance communication among agents while in a competitive context it gives room for manipulative strategies.

The proposed project will focus on the following four main objectives: In a first step, we will focus on developing analytical methods to identify heuristics of anticipation in live fish that interact with a biomimetic robotic fish (Robofish) and vary also in social responsiveness (objective a). In a second step, we will create situations in which live fish have to cooperate or compete with Robofish in order to achieve a goal effectively. This will allow us to estimate costs and benefits associated with anticipatory strategies (objective b). The aim of our experimental data is to identify cognitive heuristics that play a role in anticipation in interacting pairs that will then be used to develop a ubiquitous synthetic behaviour of anticipation when social responsiveness in interaction partners varies (objective c). In order to evaluate this synthetic behaviour, it will be implemented into Robofish as well as in humanoid robots and then tested in situations involving either robot-only pairs (robot-robot) or, in case of Robofish, also pairs with one live agent (fish-robot) (objective d).

Principal investigators
Krause, Jens Prof. Dr. (Details) (Biology and Ecology of Fishes)
Hafner, Verena Prof. Dr. (Details) (Adaptive Systems)

Participating external organisations

DFG Excellence Strategy: Cluster

Duration of project
Start date: 06/2019
End date: 03/2023

Related umbrella project

Last updated on 2022-22-09 at 07:05