216 citations · 326 across the 25 of their papers we have counts for
29 papers
Normative Feeling: Socially Patterned Affective Mechanisms
Stavros Anagnou, Daniel Polani, Christoph Salge
Breaking a norm elicits both material and emotional consequences, yet how this coupling arose evolutionarily remains unclear. We investigate this question in light of emerging work…
The Effect of Noise on the Emergence of Continuous Norms and its Evolutionary Dynamics
Stavros Anagnou, Daniel Polani, Christoph Salge
We examine the effect of noise on societies of agents using an agent-based model of evolutionary norm emergence. Generally, we see that noisy societies are more selfish, smaller an…
Spatial, Social and Data Gaps in On-Demand Mobility Services: Towards a Supply-Oriented MaaS
Ronit Purian, Daniel Polani
After a decade of on-demand mobility services that change spatial behaviors in metropolitan areas, the Shared Autonomous Vehicle (SAV) service is expected to increase traffic conge…
Intrinsic Motivation in Dynamical Control Systems
Stas Tiomkin, Ilya Nemenman, Daniel Polani +1
Biological systems often choose actions without an explicit reward signal, a phenomenon known as intrinsic motivation. The computational principles underlying this behavior remain…
Skilled motor control implies a low entropy of states but a high entropy of actions
Nicola Catenacci Volpi, Martin Greaves, Dari Trendafilov +3
The mastery of skills such as playing tennis or balancing an inverted pendulum implies a very accurate control of movements to achieve the task goals. Traditional accounts of skill…
A space of goals: the cognitive geometry of informationally bounded agents
Karen Archer, Nicola Catenacci Volpi, Franziska Bröker +1
Traditionally, Euclidean geometry is treated by scientists as a priori and objective. However, when we take the position of an agent, the problem of selecting a best route should a…
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…
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…
Human Perception of Intrinsically Motivated Autonomy in Human-Robot Interaction
Marcus M. Scheunemann, Christoph Salge, Daniel Polani +1
A challenge in using robots in human-inhabited environments is to design behavior that is engaging, yet robust to the perturbations induced by human interaction. Our idea is to imb…
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…
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…
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…
Expanding the Active Inference Landscape: More Intrinsic Motivations in the Perception-Action Loop
Martin Biehl, Christian Guckelsberger, Christoph Salge +2
Active inference is an ambitious theory that treats perception, inference and action selection of autonomous agents under the heading of a single principle. It suggests biologicall…
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,…
Action and perception for spatiotemporal patterns
Martin Biehl, Daniel Polani
This is a contribution to the formalization of the concept of agents in multivariate Markov chains. Agents are commonly defined as entities that act, perceive, and are goal-directe…
Control Capacity of Partially Observable Dynamic Systems in Continuous Time
Stas Tiomkin, Daniel Polani, Naftali Tishby
Stochastic dynamic control systems relate in a prob- abilistic fashion the space of control signals to the space of corresponding future states. Consequently, stochastic dynamic sy…
Towards information based spatiotemporal patterns as a foundation for agent representation in dynamical systems
Martin Biehl, Takashi Ikegami, Daniel Polani
We present some arguments why existing methods for representing agents fall short in applications crucial to artificial life. Using a thought experiment involving a fictitious dyna…
Informational parasites in code evolution
Andres C. Burgos, Daniel Polani
In a previous study, we considered an information-theoretic model of code evolution. In it, agents obtain information about their (common) environment by the perception of messages…
An informational study of the evolution of codes and of emerging concepts in populations of agents
Andres C. Burgos, Daniel Polani
We consider the problem of the evolution of a code within a structured population of agents. The agents try to maximise their information about their environment by acquiring infor…
Cooperation and antagonism in information exchange in a growth scenario with two species
Andres C. Burgos, Daniel Polani
We consider a simple information-theoretic model of communication, in which two species of bacteria have the option of exchanging information about their environment, thereby impro…
Towards designing artificial universes for artificial agents under interaction closure
Martin Biehl, Christoph Salge, Daniel Polani
We are interested in designing artificial universes for artifi- cial agents. We view artificial agents as networks of high- level processes on top of of a low-level detailed-descri…
Don't Believe Everything You Hear; Preserving Relevant Information by Discarding Social Information
Christoph Salge, Daniel Polani
Integrating information gained by observing others via Social Bayesian Learning can be beneficial for an agent's performance, but can also enable population wide information cascad…
Changing the Environment Based on Empowerment as Intrinsic Motivation
Christoph Salge, Cornelius Glackin, Daniel Polani
One aspect of intelligence is the ability to restructure your own environment so that the world you live in becomes more beneficial to you. In this paper we investigate how the inf…
Changing the Environment based on Intrinsic Motivation
Christoph Salge, Daniel Polani
One of the remarkable feats of intelligent life is that it restructures the world it lives in for its own benefit. This extended abstract outlines how the information-theoretic pri…