activity
20152020
most citedBold Hearts Team Description for RoboCup 2019 (Humanoid Kid Size League)

2 citations · 2 across the 4 of their papers we have counts for

collaborators

8 papers

nlin.AO2020

Causal blankets: Theory and algorithmic framework

Fernando E. Rosas, Pedro A. M. Mediano, Martin Biehl +2

We introduce a novel framework to identify perception-action loops (PALOs) directly from data based on the principles of computational mechanics. Our approach is based on the notio…

cs.AI2020

AvE: Assistance via Empowerment

Yuqing Du, Stas Tiomkin, Emre Kiciman +3

One difficulty in using artificial agents for human-assistive applications lies in the challenge of accurately assisting with a person's goal(s). Existing methods tend to rely on i…

cs.IT2019

Information Decomposition based on Cooperative Game Theory

Nihat Ay, Daniel Polani, Nathaniel Virgo

We offer a new approach to the information decomposition problem in information theory: given a 'target' random variable co-distributed with multiple 'source' variables, how can we…

q-bio.OT2019

Measuring Time with Minimal Clocks

Andrei D. Robu, Christoph Salge, Chrystopher L. Nehaniv +1

Being able to measure time, whether directly or indirectly, is a significant advantage for an organism. It allows for the timely reaction to regular or predicted events, reducing t…

cs.RO20192 cited

Bold Hearts Team Description for RoboCup 2019 (Humanoid Kid Size League)

Marcus M. Scheunemann, Sander G. van Dijk, Rebecca Miko +4

We participated in the RoboCup 2018 competition in Montreal with our newly developed BoldBot based on the Darwin-OP and mostly self-printed custom parts. This paper is about the le…

q-bio.OT2017

Time as it could Be measured in Artificial Living Systems

Andrei D. Robu, Christoph Salge, Chrystopher L. Nehaniv +1

Being able to measure time, whether directly or indirectly, is a significant advantage for an organism. It permits it to predict regular events, and prepare for them on time. Thus,…