Daniel Polani

发表

Time as it could be measured in artificial living systems

Andrei D. Robu, Christoph Salge, Chrystopher L. Nehaniv, 2017, ECAL.

Representations of Space and Time in the Maximization of Information Flow in the Perception-Action Loop

Chrystopher L. Nehaniv, Daniel Polani, Alexander S. Klyubin, 2007, Neural Computation.

Some ways to see two in one

Daniel Polani, Martin Biehl, 2013 .

Think globally, sense locally: From local information to global features

Chrystopher L. Nehaniv, Daniel Polani, Malte Harder, 2011, 2011 IEEE Symposium on Artificial Life (ALIFE).

Towards socially adaptive robots: A novel method for real time recognition of human-robot interaction styles

Daniel Polani, Kerstin Dautenhahn, Dorothée François, 2008, Humanoids 2008 - 8th IEEE-RAS International Conference on Humanoid Robots.

Models of Information Processing in the Sensorimotor Loop

Daniel Polani, Marco Möller, D. Polani, 2009 .

Histogram based classification of tactile patterns on periodically distributed skin sensors for a humanoid robot

Daniel Polani, Kerstin Dautenhahn, Ze Ji, 2011, 2011 RO-MAN.

Changing the Environment Based on Empowerment as Intrinsic Motivation

Christoph Salge, Daniel Polani, Cornelius Glackin, 2014, Entropy.

Hierarchical Behaviours: Getting the Most Bang for Your Bit

Chrystopher L. Nehaniv, Daniel Polani, Sander G. van Dijk, 2009, ECAL.

An informational perspective on how the embodiment can relieve cognitive burden

Daniel Polani, D. Polani, 2011, 2011 IEEE Symposium on Artificial Life (ALIFE).

Informational Constraints-Driven Organization in Goal-Directed Behavior

Daniel Polani, Sander G. van Dijk, 2013, Adv. Complex Syst..

Don't Believe Everything You Hear; Preserving Relevant Information by Discarding Social Information pdf

Christoph Salge, Daniel Polani, Christoph Salge, 2014, ALIFE.

A Method for Incorporation of New Evidence to Improve World State Estimation

Thomas Martinetz, Daniel Polani, André Meyer, 2001, RoboCup.

Measuring Self-Organization via Observers

Daniel Polani, D. Polani, 2003, ECAL.

Zipf’s Law: Balancing Signal Usage Cost and Communication Efficiency

Christoph Salge, Daniel Polani, Mikhail Prokopenko, 2015, PloS one.

From Infotaxis to Boids-like Swarm Behaviour

Christoph Salge, Daniel Polani, 2010, ALIFE.

Informational parasites in code evolution pdf

Daniel Polani, Andres C. Burgos, D. Polani, 2015, ECAL.

Apparent actions and apparent goal-directedness

Daniel Polani, Martin Biehl, D. Polani, 2015, ECAL.

Navigation, guidance and control of underwater vehicles within the widely scalable mobile underwater sonar technology project: An overview

Sergio M. Jesus, Daniel Polani, Antonio M. Pascoal, 2015 .

Information Theory of Decisions and Actions

Daniel Polani, Naftali Tishby, Naftali Tishby, 2011 .

Exploring Empowerment as a Basis for Quantifying Sustainability

Daniel Polani, Jan T. Kim, D. Polani, 2009, 2009 IEEE Symposium on Artificial Life.

Origins of Scaling in Genetic Code

Daniel Polani, Oliver Obst, Mikhail Prokopenko, 2009, ECAL.

Information in the Perception and Action of Embodied Agents

Chrystopher L. Nehaniv, Daniel Polani, Alexander S. Klyubin, 2006, Künstliche Intell..

Widely scalable mobile underwater sonar technology: An overview of the H2020 WiMUST project

Sergio M. Jesus, Daniel Polani, Antonio M. Pascoal, 2016 .

A virtual testbed for analysis and design of sensorimotoric aspects of agent control

Daniel Polani, Thomas Uthmann, Peter Mössinger, 1997, Simul. Pract. Theory.

A Study of the Simulated Evolution of the Spectral Sensitivity of Visual Agent Receptors

Daniel Polani, Thomas Uthmann, Achim Liese, 2001, Artificial Life.

Quantifying Sustainability in a System of Coupled Tipping Elements

Daniel Polani, Jan T Kim, D. Polani, 2020, 2020 IEEE Symposium Series on Computational Intelligence (SSCI).

Sensor adaptation and development in robots by entropy maximization of sensory data

Chrystopher L. Nehaniv, Daniel Polani, Lars Olsson, 2005, 2005 International Symposium on Computational Intelligence in Robotics and Automation.

Preventing Bluff Agent Invasions in Honest Societies

Daniel Polani, Robert Lowe, 2003, ECAL.

Constructing the Basic Umwelt of Artificial Agents: An Information-Theoretic Approach

Philippe Capdepuy, Chrystopher L. Nehaniv, Daniel Polani, 2007, ECAL.

Robot self-preservation and adaptation to user preferences in game play, a preliminary study

Daniel Polani, María Malfaz, Farshid Amirabdollahian, 2011, 2011 IEEE International Conference on Robotics and Biomimetics.

A Simulation Environment for Continuous Virtual Multi-Agent Systems User Manual

Daniel Polani, Thomas Uthmann, Ralf Schmitt, 1999 .

Information parsimony in collaborative interaction

Daniel Polani, Dari Trendafilov, D. Polani, 2018 .

Foundations and Formalizations of Self-organization

Daniel Polani, 2008, Advances in Applied Self-organizing Systems.

Empowerment for continuous agent—environment systems

Peter Stone, Daniel Polani, Tobias Jung, 2011, Adapt. Behav..

The Widely scalable Mobile Underwater Sonar Technology (WiMUST) H2020 project: First year status

Daniel Polani, Giuseppe Casalino, Gianluca Antonelli, 2016, OCEANS 2016 - Shanghai.

Between Teaching and Learning: Development of the Team Mainz Rolling Brains for the Simulation League of RoboCup 99

Daniel Polani, Thomas Uthmann, 1999 .

Adaptation of the Perception-Action Loop Using Active Channel Sampling

Philippe Capdepuy, Chrystopher L. Nehaniv, Daniel Polani, 2008, 2008 NASA/ESA Conference on Adaptive Hardware and Systems.

Eugenic Neuro-Evolution for Reinforcement Learning

Risto Miikkulainen, Daniel Polani, 2000, GECCO.

RoboCup 2009

Daniel Polani, 2009, Künstliche Intell..

Information Theory and Evolution. John Avery. (2003, World Scientific.) £33 (paper). 217 pages.

Daniel Polani, D. Polani, 2010, Artificial Life.

Specific and Complete Local Integration of Patterns in Bayesian Networks

Daniel Polani, Martin Biehl, Takashi Ikegami, 2017, Entropy.

Critic-based Learning of Actions with Self-Organising Feature Maps

Daniel Polani, Jan W. Wedel, 1996 .

Control Capacity of Partially Observable Dynamic Systems in Continuous Time pdf

Daniel Polani, Naftali Tishby, Stas Tiomkin, 2017, ArXiv.

Gait trajectory prediction using Gaussian process ensembles

Zlatko Matjacic, Daniel Polani, Cornelius Glackin, 2014, 2014 IEEE-RAS International Conference on Humanoid Robots.

Human Perception of Intrinsically Motivated Autonomy in Human-Robot Interaction pdf

Christoph Salge, Daniel Polani, Kerstin Dautenhahn, 2020, Adaptive Behavior.

Optimizing Associative Information Transfer within Content-addressable Memory

Daniel Polani, Mikhail Prokopenko, Peter Wang, 2008, Int. J. Unconv. Comput..

Fitness Functions for the Optimization of Self-Organizing Maps

Daniel Polani, 1997, ICGA.

Eine virtuelle kontinuierliche Welt als Testbett für KI-Modelle

Daniel Polani, Thomas Uthmann, Günter Bruns, 2001, Künstliche Intell..

Expanding the Active Inference Landscape: More Intrinsic Motivations in the Perception-Action Loop

Christoph Salge, Daniel Polani, Martin Biehl, 2018, Front. Neurorobot..

Using transfer entropy to study synaptic integration in Purkinje cells

Neil Davey, Daniel Polani, Volker Steuber, 2015, BMC Neuroscience.

RoboCup-2003: New Scientific and Technical Advances

Alessandro Saffiotti, Emanuele Menegatti, Adam Jacoff, 2004, AI Mag..

An Informational Study of the Evolution of Codes in Different Population Structures

Daniel Polani, Andres C. Burgos, 2014 .

Meaningful Information, Sensor Evolution, and the Temporal Horizon of Embodied Organisms

Daniel Polani, Kerstin Dautenhahn, Chrystopher L. Nehaniv, 2002 .

Emergence of Genetic Coding: An Information-Theoretic Model

Daniel Polani, Mikhail Prokopenko, Piraveenan Mahendra, 2007, ECAL.

Proceedings of Abstracts Engineering and Computer Science Research Conference 2019

Yichuang Sun, Neil Davey, Richard Kaye, 2019 .

An Informational Study of the Evolution of Codes and of Emerging Concepts in Populations of Agents

Daniel Polani, Andres C. Burgos, D. Polani, 2015, Artificial Life.

Learning gait by therapist demonstration for natural-like walking with the CORBYS powered orthosis

Zlatko Matjacic, Daniel Polani, Cornelius Glackin, 2015, 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Tracking Information Flow through the Environment: Simple Cases of Stigmerg

Chrystopher L. Nehaniv, Daniel Polani, A. S. Klyubin, 2004 .

Look-ahead relevant information: Reducing cognitive burden over prolonged tasks

Daniel Polani, Sander G. van Dijk, D. Polani, 2011, 2011 IEEE Symposium on Artificial Life (ALIFE).

On the Cross-Disciplinary Nature of Guided Self-Organisation

Daniel Polani, Mikhail Prokopenko, Nihat Ay, 2014 .

On-line behaviour classification and adaptation to human-robot interaction styles

Daniel Polani, Kerstin Dautenhahn, Dorothée François, 2007, 2007 2nd ACM/IEEE International Conference on Human-Robot Interaction (HRI).

Towards designing artificial universes for artificial agents under interaction closure pdf

Christoph Salge, Daniel Polani, Martin Biehl, 2014, ALIFE.

Training Kohonen Feature Maps in Different Topologies: An Analysis Using Genetic Algorithms

Daniel Polani, Thomas Uthmann, D. Polani, 1993, ICGA.

A Direct Approach to Robot Soccer Agents: Description for the Team MAINZ ROLLING BRAINS Simulation League of RoboCup'98

Daniel Polani, Stefan Weber, Thomas Uthmann, 1998, RoboCup.

Information Decomposition based on Cooperative Game Theory pdf

Daniel Polani, Nihat Ay, Nathaniel Virgo, 2019, Kybernetika.

Action and perception for spatiotemporal patterns

Daniel Polani, Martin Biehl, D. Polani, 2017, ECAL.

Changing the Environment based on Intrinsic Motivation pdf

Christoph Salge, Daniel Polani, 2013, ArXiv.

Empowerment as a metric for Optimization in HCI

Roderick Murray-Smith, Daniel Polani, Dari Trendafilov, 2015 .

Common Concepts in Agent Groups, Symmetries, and Conformity in a Simple Environment

Daniel Polani, Marco Möller, D. Polani, 2008, ALIFE.

Information Trade-Offs and the Evolution of Sensory Layout

Chrystopher L. Nehaniv, Daniel Polani, Lars Olsson, 2004 .

What do You Want to do Today? - Relevant-Information Bookkeeping in Goal-Oriented Behaviour

Chrystopher L. Nehaniv, Daniel Polani, Sander G. van Dijk, 2010, ALIFE.

Keep Your Options Open: An Information-Based Driving Principle for Sensorimotor Systems

Chrystopher L. Nehaniv, Daniel Polani, Alexander S. Klyubin, 2008, PloS one.

Sensor Evolution In A Homeokinetic System

Daniel Polani, Kai Labusch, 2002 .

Construction of an Internal Predictive Model by Event Anticipation

Philippe Capdepuy, Chrystopher L. Nehaniv, Daniel Polani, 2007, SAB ABiALS.

On Preferred States of Agents - how Global Structure is reflected in Local Structure

Chrystopher L. Nehaniv, Daniel Polani, Tom Anthony, 2008, ALIFE.

Maximization of Potential Information Flow as a Universal Utility for Collective Behaviour

Philippe Capdepuy, Chrystopher L. Nehaniv, Daniel Polani, 2007, 2007 IEEE Symposium on Artificial Life.

From unknown sensors and actuators to actions grounded in sensorimotor perceptions

Chrystopher L. Nehaniv, Daniel Polani, Lars Olsson, 2006, Connect. Sci..

Information-Driven Organization of Visual Receptive Fields

Christoph Salge, Daniel Polani, 2009, Adv. Complex Syst..

Informational Drives for Sensor Evolution

Daniel Polani, Sander G. van Dijk, D. Polani, 2012, ALIFE.

Empowerment As Replacement for the Three Laws of Robotics

Christoph Salge, Daniel Polani, Christoph Salge, 2017, Front. Robot. AI.

Cooperation and antagonism in information exchange in a growth scenario with two species

Daniel Polani, Andres C. Burgos, D. Polani, 2015, Journal of theoretical biology.

Modelling the Emergence of Possession Norms using Memes

Daniel Polani, Felix Flentge, Thomas Uthmann, 2001, J. Artif. Soc. Soc. Simul..

Decoupled Sampling-Based Motion Planning for Multiple Autonomous Marine Vehicles

Daniel Polani, Enrico Simetti, Michael Alibani, 2018, OCEANS 2018 MTS/IEEE Charleston.

Effects of Anticipation in Individually Motivated Behaviour on Survival and Control in a Multi-Agent Scenario with Resource Constraints

Daniel Polani, Christian Guckelsberger, 2014, Entropy.

Overview and first year progress of the Widely scalable Mobile Underwater Sonar Technology H2020 project

Sergio M. Jesus, Daniel Polani, Antonio M. Pascoal, 2016 .

The degree of potential damage in agonistic contests and its effects on social aggression, territoriality and display evolution

Chrystopher L. Nehaniv, Daniel Polani, Lola Cañamero, 2005, 2005 IEEE Congress on Evolutionary Computation.

Organization of the information flow in the perception-action loop of evolved agents

Chrystopher L. Nehaniv, Daniel Polani, Alexander S. Klyubin, 2004, Proceedings. 2004 NASA/DoD Conference on Evolvable Hardware, 2004..

AvE: Assistance via Empowerment pdf

Daniel Polani, Pieter Abbeel, Stas Tiomkin, 2020, NeurIPS.

Measuring Time with Minimal Clocks

Andrei D. Robu, Christoph Salge, Chrystopher L. Nehaniv, 2019, Artificial Life.

Model of Coordination Flow in Remote Collaborative Interaction

Daniel Polani, Roderick Murray-Smith, Dari Trendafilov, 2015, 2015 17th UKSim-AMSS International Conference on Modelling and Simulation (UKSim).

One way to see two in one

Daniel Polani, Martin Biehl, 2013, ECAL.

Information and Self-Organization of Behavior

Daniel Polani, Mikhail Prokopenko, Larry S. Yaeger, 2013, Adv. Complex Syst..

A Decentralized Agent-Based Platform for Automated Trade and its Simulation

Daniel Polani, Thomas Uthmann, Erich Kutschinski, 2000 .

Two Agents Acting as One

Chrystopher L. Nehaniv, Daniel Polani, Malte Harder, 2010, ALIFE.

Impoverished Empowerment: 'Meaningful' Action Sequence Generation through Bandwidth Limitation

Chrystopher L. Nehaniv, Daniel Polani, Tom Anthony, 2009, ECAL.

The Effects on Visual Information in a Robot in Environments with Oriented Contours

Chrystopher L. Nehaniv, Daniel Polani, Lars Olsson, 2004 .

A Bivariate Measure of Redundant Information

Christoph Salge, Daniel Polani, Malte Harder, 2012, Physical review. E, Statistical, nonlinear, and soft matter physics.

On the Optimization of Self-Organizing Maps by Genetic Algorithms

Daniel Polani, 1999 .

Information-Theoretic Modeling of Sensory Ecology: Channels of Organism-Specific Meaningful Information

Chrystopher L. Nehaniv, Daniel Polani, Lars Olsson, 2007 .

Empowerment as a Generic Utility Function for Agents in a Simple Team Sport Simulation

Daniel Polani, Marcus Clements, 2017, ICR.

Multiobjective Optimization Applied to the Eradication of Persistent Pathogens

Daniel Polani, Ole Steuernagel, D. Polani, 2010, IEEE Transactions on Evolutionary Computation.

Information Flows in Causal Networks

Daniel Polani, Nihat Ay, N. Ay, 2008, Adv. Complex Syst..

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

Daniel Polani, Daniel Barry, Marcus M. Scheunemann, 2019, ArXiv.

Information-theoretic Sensorimotor Foundations of Fitts' Law

Daniel Polani, Dari Trendafilov, 2019, CHI Extended Abstracts.

Least Squares SVM for Least Squares TD Learning

Daniel Polani, Tobias Jung, 2006, ECAI.

Information: Currency of life?

Daniel Polani, D. Polani, 2009, HFSP journal.

Grounding subgoals in information transitions

Daniel Polani, Sander G. van Dijk, D. Polani, 2011, 2011 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL).

Information theoretical analysis of differences in information transmission in cerebellar Purkinje cells across species

Neil Davey, Daniel Polani, Volker Steuber, 2014, BMC Neuroscience.

RoboCup 2003: Robot Soccer World Cup VII

Brett Browning, Daniel Polani, Andrea Bonarini, 2003, Lecture Notes in Computer Science.

Sequential Learning with LS-SVM for Large-Scale Data Sets

Daniel Polani, Tobias Jung, 2006, ICANN.

Defining Emergent Descriptions by Information Preservation

Daniel Polani, 2011 .

Empowerment and State-dependent Noise - An Intrinsic Motivation for Avoiding Unpredictable Agents

Christoph Salge, Daniel Polani, Cornelius Glackin, 2013, ECAL.

On the development of spectral properties of visual agent receptors through evolution

Daniel Polani, Thomas Uthmann, Achim Liese, 2000, GECCO.

Fast Reinforcement Learning through Eugenic Neuro-Evolution

Risto Miikkulainen, Daniel Polani, R. Miikkulainen, 1999 .

Guest Editors' Introduction: Special Issue on Sensor Evolution

Daniel Polani, Kerstin Dautenhahn, Thomas Uthmann, 2001, Artificial Life.

Team Description for Lucky Lübeck - Evidence-Based World State Estimation

Thomas Martinetz, Daniel Polani, D. Polani, 2000, RoboCup.

Strategies in the Evolution of Affect Related Displays and Recognition

Chrystopher L. Nehaniv, Daniel Polani, Lola Cañamero, 2004 .

Evolution of Sensors in Nature, Hardware and Simulation

Daniel Polani, Kerstin Dautenhahn, Thomas Uthmann, 2000, Künstliche Intell..

Digested Information as an Information Theoretic Motivation for Social Interaction

Christoph Salge, Daniel Polani, Christoph Salge, 2011, J. Artif. Soc. Soc. Simul..

The widely scalable Mobile Underwater Sonar Technology (WiMUST) project: An overview

Daniel Polani, Giuseppe Casalino, Gianluca Antonelli, 2015, OCEANS 2015 - Genova.

On information-optimal scripting of actions

Daniel Polani, Bente Riegler, 2019 .

Space Emerges from What We Know—Spatial Categorisations Induced by Information Constraints

Daniel Polani, Nicola Catenacci Volpi, D. Polani, 2020, Entropy.

On a Quantitative Measure for Modularity Based on Information Theory

Daniel Polani, Thomas Uthmann, Peter Dauscher, 2005, ECAL.

Legs that can walk: embodiment-based modular reinforcement learning applied

Chrystopher L. Nehaniv, Daniel Polani, David Jacob, 2005, 2005 International Symposium on Computational Intelligence in Robotics and Automation.

Perception–action loops of multiple agents: informational aspects and the impact of coordination

Philippe Capdepuy, Chrystopher L. Nehaniv, Daniel Polani, 2011, Theory in Biosciences.

Learning RoboCup-Keepaway with Kernels pdf

Daniel Polani, Tobias Jung, 2007, Gaussian Processes in Practice.

Towards information based spatiotemporal patterns as a foundation for agent representation in dynamical systems pdf

Daniel Polani, Martin Biehl, Takashi Ikegami, 2016, ALIFE.

Mutual Information as a Measure of Coordination in Collaborative Interaction

Daniel Polani, Alexander Maye, Andreas K. Engel, 2015 .

Optimization of stable quadruped locomotion using mutual information

Cristina P. Santos, Daniel Polani, Pedro Eduardo Almeida da Silva, 2013 .

All Else Being Equal Be Empowered

Chrystopher L. Nehaniv, Daniel Polani, Alexander S. Klyubin, 2005, ECAL.

XRaptor: A Synthetic Multi-Agent Environment for Evaluation of Adaptive Control Mechanisms

Daniel Polani, Thomas Uthmann, Peter Mössinger, 1995, EUROSIM.

Empowerment - an Introduction pdf

Christoph Salge, Daniel Polani, Cornelius Glackin, 2013, ArXiv.

Inferring dependencies in Embodiment-based modular reinforcement learning

Chrystopher L. Nehaniv, Daniel Polani, D. Jacob, 2005 .

Optimizing Potential Information Transfer with Self-referential Memory

Daniel Polani, Mikhail Prokopenko, Peter Wang, 2006, UC.

On the Effects of Transcription Factor Properties on the Information Content of Binding Sites

Thomas Martinetz, Daniel Polani, Jan T. Kim, 2001, German Conference on Bioinformatics.

CORBYS cognitive control architecture for robotic follower

Christoph Salge, Daniel Polani, Cornelius Glackin, 2013, Proceedings of the 2013 IEEE/SICE International Symposium on System Integration.

An Overview of RoboCup-2002 Fukuoka/Busan

Minoru Asada, Brett Browning, Tomoichi Takahashi, 2003, AI Mag..

Tilting Together: An Information-Theoretic Characterization of Behavioral Roles in Rhythmic Dyadic Interaction

Daniel Polani, Dari Trendafilov, Gerd Schmitz, 2020, Frontiers in Human Neuroscience.

Adaption der Topologie von Kohonen-Karten durch genetische Algorithmen

Daniel Polani, Daniel Polani, 1996, DISKI.

The Evolution of Affect-Related Displays, Recognition and Related Strategies

Chrystopher L. Nehaniv, Daniel Polani, Lola Cañamero, 2004 .

The implications of evolutionary changes in the dendritic morphology of cerebellar Purkinje cells for information processing

Neil Davey, Daniel Polani, Hugo Cornelis, 2013, BMC Neuroscience.

How Information and Embodiment Shape Intelligent Information Processing

Daniel Polani, Olaf Sporns, Max Lungarella, 2006, 50 Years of Artificial Intelligence.

Modelling Stigmergic Gene Transfer

Daniel Polani, Mikhail Prokopenko, Matthew Chadwick, 2008, ALIFE.

Faster learning in embodied systems through characteristic attitudes

Chrystopher L. Nehaniv, Daniel Polani, David Jacob, 2005, 2005 International Symposium on Computational Intelligence in Robotics and Automation.

Measuring Informational Distances Between Sensors and Sensor Integration

Chrystopher L. Nehaniv, Daniel Polani, Lars Olsson, 2006 .

Computation of Empowerment for an Autonomous Underwater Vehicle

Daniel Polani, Giovanni Indiveri, Daniela De Palma, 2016 .

Discovering Motion Flow by Temporal-Informational Correlations in Sensors

Chrystopher L. Nehaniv, Daniel Polani, Lars Olsson, 2005 .

Local information maximisation creates emergent flocking behavior

Christoph Salge, Daniel Polani, 2011, ECAL.

Behavior Classification with Self-Organizing Maps

Jürgen Perl, Daniel Polani, Michael Wünstel, 2000, RoboCup.

Adaptation of Kohonen Feature Map Topologies by Genetic Algorithms

Daniel Polani, Thomas Uthmann, 1992, PPSN.

Stigmergic gene transfer and emergence of universal coding

Daniel Polani, Mikhail Prokopenko, Matthew Chadwick, 2009, HFSP journal.

Approximation of Empowerment in the continuous Domain

Christoph Salge, Daniel Polani, Cornelius Glackin, 2013, Adv. Complex Syst..

Empowerment: a universal agent-centric measure of control

Chrystopher L. Nehaniv, Daniel Polani, A. S. Klyubin, 2005, 2005 IEEE Congress on Evolutionary Computation.

Sensor Adaptation andDevelopment inRobots byEntropy Maximization ofSensory Data

Chrystopher L. Nehaniv, Daniel Polani, Hatfield Herts Alio, 2005 .

Using real-time recognition of human-robot interaction styles for creating adaptive robot behaviour in robot-assisted play

Daniel Polani, Kerstin Dautenhahn, Dorothée François, 2009, 2009 IEEE Symposium on Artificial Life.

Grounding Action-Selection in Event-Based Anticipation

Philippe Capdepuy, Chrystopher L. Nehaniv, Daniel Polani, 2007, ECAL.

Causal blankets: Theory and algorithmic framework pdf

Daniel Polani, Martin Biehl, Fernando E. Rosas, 2020, IWAI.

Sensory channel grouping and structure from uninterpreted sensor data

Chrystopher L. Nehaniv, Daniel Polani, Lars Olsson, 2004, Proceedings. 2004 NASA/DoD Conference on Evolvable Hardware, 2004..

Self-Organizing Particle Systems

Daniel Polani, Malte Harder, D. Polani, 2013, Adv. Complex Syst..

Information-Theoretic Measures as a Generic Approach to Human-Robot Interaction: Application in CORBYS Project

Daniel Polani, Cornelius Glackin, Danijela Ristic-Durrant, 2014, 2014 9th ACM/IEEE International Conference on Human-Robot Interaction (HRI).

Mainz Rolling Brains

Daniel Polani, Thomas Uthmann, 1999, RoboCup.

General Self-Motivation and Strategy Identification: Case Studies Based on Sokoban and Pac-Man

Chrystopher L. Nehaniv, Daniel Polani, Tom Anthony, 2014, IEEE Transactions on Computational Intelligence and AI in Games.

Order Parameters for Self-Organizing Maps

Daniel Polani, Angelika Spitzner, D. Polani, 1998 .

An Information-Theoretic Approach for the Quantification of Relevance

Thomas Martinetz, Daniel Polani, Jan T. Kim, 2001, ECAL.

Development: The Missing Link between Evolution and Learning?

Daniel Polani, 2011 .

Information-theoretic Cost of Decision-making in Joint Action

Alois Ferscha, Daniel Polani, Dari Trendafilov, 2021, ICAART.

A space of goals: the cognitive geometry of informationally bounded agents pdf

Daniel Polani, Nicola Catenacci Volpi, Franziska Bröker, 2021, ArXiv.

Editorial: Complexity and Self-Organization

Daniel Polani, Carlos Gershenson, Georg Martius, 2021, Frontiers in Robotics and AI.

AvE: Assistance via Empowerment pdf

Daniel Polani, Pieter Abbeel, Stas Tiomkin, 2020, NeurIPS.

Bioinformatic principles underlying the information content of transcription factor binding sites.

Daniel Polani, Thomas Martinetz, D. Polani, 2003, Journal of theoretical biology.

RoboCup-2000 The Fourth Robotic Soccer World Championships

Satoshi Tadokoro, Daniel Polani, Nuno Lau, 2022 .

Free energy , empowerment , and predictive information compared

Christoph Salge, Daniel Polani, Christian Guckelsberger, 2018 .

A Simple Modularity Measure for Search Spaces based on Information Theory

Richard A. Watson, Daniel Polani, Peter Dauscher, 2006 .

On The Emergence Of Possession Norms in Agent Societies

Daniel Polani, Felix Flentge, Thomas Uthmann, 2000 .

Emergence, Intrinsic Structure of Information, and Agenthood

Daniel Polani, 2010 .

Bold Hearts Team Description RoboCup 2017 Kid Size

Daniel Polani, D. Polani, S. V. Dijk, 2013 .

A framework for sensor evolution in a population of Braitenberg vehicle-like agents (poster)

Daniel Polani, Thomas Uthmann, D. Polani, 1998 .

Decomposing multivariate information

Nathaniel Virgo, Daniel Polani, 2017 .

Phase transitions in least-effort communications

Daniel Polani, Oliver Obst, Mikhail Prokopenko, 2010 .