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2020 – today
- 2024
- [j41]Alessandra Rossi
, Maike Paetzel-Prüsmann
The human in the loop Perspectives and challenges for RoboCup 2050. Auton. Robots 48(2-3): 8 (2024) - [c82]Wooyoung Chung, Daniel Polani, Stas Tiomkin:
Dimensionality Reduction of Dynamics on Lie Groups via Structure-Aware Canonical Correlation Analysis. ACC 2024: 439-446 - 2023
- [j40]Hippolyte Charvin
Exact and Soft Successive Refinement of the Information Bottleneck. Entropy 25(9): 1355 (2023) - [j39]Nicola Catenacci Volpi
Skilled motor control of an inverted pendulum implies low entropy of states but high entropy of actions. PLoS Comput. Biol. 19(1) (2023) - [j38]Nicola Catenacci Volpi
Goal-Directed Empowerment: Combining Intrinsic Motivation and Task-Oriented Behavior. IEEE Trans. Cogn. Dev. Syst. 15(2): 361-372 (2023) - [c81]Faizan Rasheed, Daniel Polani, Nicola Catenacci Volpi:
Leveraging Empowerment to Model Tool Use in Reinforcement Learning. ICDL 2023: 28-36 - [i26]Stas Tiomkin, Ilya Nemenman, Daniel Polani, Naftali Tishby:
Intrinsic Motivation in Dynamical Control Systems. CoRR abs/2301.00005 (2023) - [i25]Ronit Purian
Spatial, Social and Data Gaps in On-Demand Mobility Services: Towards a Supply-Oriented MaaS. CoRR abs/2303.03881 (2023) - [i24]Stavros Anagnou, Daniel Polani, Christoph Salge:
The Effect of Noise on the Emergence of Continuous Norms and its Evolutionary Dynamics. CoRR abs/2306.12345 (2023) - [i23]Hippolyte Charvin, Nicola Catenacci Volpi, Daniel Polani:
Towards Information Theory-Based Discovery of Equivariances. CoRR abs/2310.16555 (2023) - [i22]Wooyoung Chung, Daniel Polani, Stas Tiomkin:
Dimensionality Reduction of Dynamics on Lie Manifolds via Structure-Aware Canonical Correlation Analysis. CoRR abs/2311.10327 (2023) - 2022
- [j37]Marcus M. Scheunemann
Human perception of intrinsically motivated autonomy in human-robot interaction. Adapt. Behav. 30(5): 451-472 (2022) - [c80]Ali Ayub, Marcus Scheunemann, Christoforos I. Mavrogiannis
Robot Curiosity in Human-Robot Interaction (RCHRI). HRI 2022: 1231-1233 - 2021
- [j36]Bente Riegler, Daniel Polani, Volker Steuber
Embodiment and Its Influence on Informational Costs of Decision Density - Atomic Actions vs. Scripted Sequences. Frontiers Robotics AI 8: 535158 (2021) - [j35]Carlos Gershenson, Daniel Polani, Georg Martius:
Editorial: Complexity and Self-Organization. Frontiers Robotics AI 8: 668305 (2021) - [c79]Dari Trendafilov, Daniel Polani, Alois Ferscha:
Information-theoretic Cost of Decision-making in Joint Action. ICAART (1) 2021: 304-311 - [i21]Karen Archer, Nicola Catenacci Volpi, Franziska Bröker, Daniel Polani:
A space of goals: the cognitive geometry of informationally bounded agents. CoRR abs/2111.03699 (2021) - 2020
- [j34]Nicola Catenacci Volpi
Space Emerges from What We Know - Spatial Categorisations Induced by Information Constraints. Entropy 22(10): 1179 (2020) - [j33]Nihat Ay, Daniel Polani, Nathaniel Virgo
Information decomposition based on cooperative game theory. Kybernetika 56(5): 979-1014 (2020) - [c78]Fernando E. Rosas, Pedro A. M. Mediano, Martin Biehl, Shamil Chandaria, Daniel Polani:
Causal Blankets: Theory and Algorithmic Framework. IWAI 2020: 187-198 - [c77]Yuqing Du, Stas Tiomkin, Emre Kiciman, Daniel Polani, Pieter Abbeel, Anca D. Dragan:
AvE: Assistance via Empowerment. NeurIPS 2020 - [c76]Jan T. Kim, Daniel Polani:
Quantifying Sustainability in a System of Coupled Tipping Elements. SSCI 2020: 102-108 - [i20]Marcus M. Scheunemann, Christoph Salge, Daniel Polani, Kerstin Dautenhahn:
Human Perception of Intrinsically Motivated Autonomy in Human-Robot Interaction. CoRR abs/2002.05936 (2020) - [i19]Yuqing Du, Stas Tiomkin, Emre Kiciman, Daniel Polani, Pieter Abbeel, Anca D. Dragan:
AvE: Assistance via Empowerment. CoRR abs/2006.14796 (2020) - [i18]Fernando E. Rosas, Pedro A. M. Mediano, Martin Biehl, Shamil Chandaria, Daniel Polani:
Causal blankets: Theory and algorithmic framework. CoRR abs/2008.12568 (2020)
2010 – 2019
- 2019
- [j32]Andrei D. Robu, Christoph Salge, Chrystopher L. Nehaniv
Measuring Time with Minimal Clocks. Artif. Life 25(4): 383-409 (2019) - [c75]Dari Trendafilov
Information-theoretic Sensorimotor Foundations of Fitts' Law. CHI Extended Abstracts 2019 - [c74]Bente Riegler, Daniel Polani:
On information-optimal scripting of actions. ALIFE 2019: 624-625 - [i17]Marcus M. Scheunemann, Sander G. van Dijk, Rebecca Miko, Daniel Barry, George M. Evans, Alessandra Rossi, Daniel Polani:
Bold Hearts Team Description for RoboCup 2019 (Humanoid Kid Size League). CoRR abs/1904.10066 (2019) - [i16]Nihat Ay, Daniel Polani, Nathaniel Virgo:
Information Decomposition based on Cooperative Game Theory. CoRR abs/1910.05979 (2019) - 2018
- [j31]Martin Biehl, Christian Guckelsberger
Expanding the Active Inference Landscape: More Intrinsic Motivations in the Perception-Action Loop. Frontiers Neurorobotics 12: 45 (2018) - [i15]Martin Biehl, Christian Guckelsberger, Christoph Salge, Simón C. Smith, Daniel Polani:
Expanding the Active Inference Landscape: More Intrinsic Motivations in the Perception-Action Loop. CoRR abs/1806.08083 (2018) - 2017
- [j30]Martin Biehl
Specific and Complete Local Integration of Patterns in Bayesian Networks. Entropy 19(5): 230 (2017) - [j29]Christoph Salge, Daniel Polani:
Empowerment As Replacement for the Three Laws of Robotics. Frontiers Robotics AI 4: 25 (2017) - [c73]Martin Biehl, Daniel Polani:
Action and perception for spatiotemporal patterns. ECAL 2017: 68-75 - [c72]Andrei D. Robu, Christoph Salge, Chrystopher L. Nehaniv, Daniel Polani:
Time as it could be measured in artificial living systems. ECAL 2017: 360-367 - [c71]Marcus Clements
Empowerment as a Generic Utility Function for Agents in a Simple Team Sport Simulation. ICR 2017: 37-49 - [i14]Stas Tiomkin, Daniel Polani, Naftali Tishby:
Control Capacity of Partially Observable Dynamic Systems in Continuous Time. CoRR abs/1701.04984 (2017) - [i13]Martin Biehl, Daniel Polani:
Action and perception for spatiotemporal patterns. CoRR abs/1706.03576 (2017) - 2016
- [j28]Andrés C. Burgos, Daniel Polani:
An Informational Study of the Evolution of Codes and of Emerging Concepts in Populations of Agents. Artif. Life 22(2): 196-210 (2016) - [c70]Daniel Polani, Takashi Ikegami, Martin Biehl:
Towards information based spatiotemporal patterns as a foundation for agent representation in dynamical systems. ALIFE 2016: 722-729 - [i12]Martin Biehl, Takashi Ikegami, Daniel Polani:
Towards information based spatiotemporal patterns as a foundation for agent representation in dynamical systems. CoRR abs/1605.05676 (2016) - 2015
- [c69]Martin Biehl, Daniel Polani:
Apparent actions and apparent goal-directedness. ECAL 2015: 511 - [c68]Andrés C. Burgos, Daniel Polani:
Informational parasites in code evolution. ECAL 2015: 629-636 - [c67]Cornelius Glackin, Christoph Salge
Learning gait by therapist demonstration for natural-like walking with the CORBYS powered orthosis. IROS 2015: 5605-5610 - [c66]Dari Trendafilov
Model of Coordination Flow in Remote Collaborative Interaction. UKSim 2015: 361-366 - [i11]Andrés C. Burgos, Daniel Polani:
Cooperation and antagonism in information exchange in a growth scenario with two species. CoRR abs/1505.00950 (2015) - [i10]Andrés C. Burgos, Daniel Polani:
Informational parasites in code evolution. CoRR abs/1505.00956 (2015) - [i9]Andrés C. Burgos, Daniel Polani:
An informational study of the evolution of codes and of emerging concepts in populations of agents. CoRR abs/1505.04142 (2015) - 2014
- [j27]Christoph Salge
Changing the Environment Based on Empowerment as Intrinsic Motivation. Entropy 16(5): 2789-2819 (2014) - [j26]Christian Guckelsberger
Effects of Anticipation in Individually Motivated Behaviour on Survival and Control in a Multi-Agent Scenario with Resource Constraints. Entropy 16(6): 3357-3378 (2014) - [j25]Tom Anthony, Daniel Polani, Chrystopher L. Nehaniv
General Self-Motivation and Strategy Identification: Case Studies Based on Sokoban and Pac-Man. IEEE Trans. Comput. Intell. AI Games 6(1): 1-17 (2014) - [c65]Andrés C. Burgos, Daniel Polani:
An Informational Study of the Evolution of Codes in Different Population Structures. ALIFE 2014: 352-359 - [c64]Christoph Salge, Daniel Polani:
Don't Believe Everything You Hear: Preserving Relevant Information by Discarding Social Information. ALIFE 2014: 837-844 - [c63]Martin Biehl, Christoph Salge, Daniel Polani:
Towards Designing Artificial Universes for Artificial Agents Under Interaction Closure. ALIFE 2014: 949-956 - [c62]Christoph Salge
Information-theoretic measures as a generic approach to human-robot interaction: application in CORBYS project. HRI 2014: 282-283 - [c61]Cornelius Glackin, Christoph Salge
Gait trajectory prediction using Gaussian process ensembles. Humanoids 2014: 628-633 - [i8]Christoph Salge, Daniel Polani:
Don't Believe Everything You Hear; Preserving Relevant Information by Discarding Social Information. CoRR abs/1406.1034 (2014) - [i7]Martin Biehl, Christoph Salge, Daniel Polani:
Towards designing artificial universes for artificial agents under interaction closure. CoRR abs/1406.1502 (2014) - [i6]Christoph Salge, Cornelius Glackin, Daniel Polani:
Changing the Environment Based on Empowerment as Intrinsic Motivation. CoRR abs/1406.1767 (2014) - 2013
- [j24]Sander G. van Dijk, Daniel Polani:
Informational Constraints-Driven Organization in Goal-Directed Behavior. Adv. Complex Syst. 16(2-3) (2013) - [j23]Malte Harder, Daniel Polani:
Self-Organizing Particle Systems. Adv. Complex Syst. 16(2-3) (2013) - [j22]Daniel Polani, Mikhail Prokopenko
Information and Self-Organization of Behavior. Adv. Complex Syst. 16(2-3) (2013) - [j21]Christoph Salge
Approximation of Empowerment in the continuous Domain. Adv. Complex Syst. 16(2-3) (2013) - [c60]Christoph Salge
Empowerment and State-dependent Noise - An Intrinsic Motivation for Avoiding Unpredictable Agents. ECAL 2013: 118-125 - [c59]Martin Biehl, Daniel Polani:
One way to see two in one. ECAL 2013: 1099-1106 - [c58]Adrian Leu, Danijela Ristic-Durrant, Sinisa Slavnic, Cornelius Glackin, Christoph Salge, Daniel Polani, Atta Badii, Ali Khan, Rajkumar K. Raval:
CORBYS cognitive control architecture for robotic follower. SII 2013: 394-399 - [i5]Christoph Salge, Cornelius Glackin, Daniel Polani:
Empowerment - an Introduction. CoRR abs/1310.1863 (2013) - [i4]Christoph Salge, Daniel Polani:
Changing the Environment based on Intrinsic Motivation. CoRR abs/1310.3692 (2013) - 2012
- [j20]Philippe Capdepuy, Daniel Polani, Chrystopher L. Nehaniv
Perception-action loops of multiple agents: informational aspects and the impact of coordination. Theory Biosci. 131(3): 149-159 (2012) - [c57]Sander G. van Dijk, Daniel Polani:
Informational Drives for Sensor Evolution. ALIFE 2012 - [i3]Tobias Jung, Daniel Polani, Peter Stone:
Empowerment for Continuous Agent-Environment Systems. CoRR abs/1201.6583 (2012) - [i2]Tobias Jung, Daniel Polani:
Learning RoboCup-Keepaway with Kernels. CoRR abs/1201.6626 (2012) - [i1]Malte Harder, Christoph Salge, Daniel Polani:
A Bivariate Measure of Redundant Information. CoRR abs/1207.2080 (2012) - 2011
- [j19]Tobias Jung, Daniel Polani, Peter Stone:
Empowerment for continuous agent - environment systems. Adapt. Behav. 19(1): 16-39 (2011) - [j18]Christoph Salge
Digested Information as an Information Theoretic Motivation for Social Interaction. J. Artif. Soc. Soc. Simul. 14(1) (2011) - [c56]Sander G. van Dijk, Daniel Polani:
Grounding subgoals in information transitions. ADPRL 2011: 105-111 - [c55]Christoph Salge, Daniel Polani:
Local information maximisation creates emergent flocking behavior. ECAL 2011: 688-695 - [c54]Sander G. van Dijk, Daniel Polani:
Look-ahead relevant information: Reducing cognitive burden over prolonged tasks. ALIFE 2011: 46-53 - [c53]Malte Harder, Daniel Polani, Chrystopher L. Nehaniv
Think globally, sense locally: From local information to global features. ALIFE 2011: 70-77 - [c52]Daniel Polani:
An informational perspective on how the embodiment can relieve cognitive burden. ALIFE 2011: 78-85 - [c51]Ze Ji
Histogram based classification of tactile patterns on periodically distributed skin sensors for a humanoid robot. RO-MAN 2011: 433-440 - [c50]Álvaro Castro González
Robot self-preservation and adaptation to user preferences in game play, a preliminary study. ROBIO 2011: 2491-2498 - 2010
- [j17]Daniel Polani:
Information Theory and Evolution, John Avery, 2003, World Scientific, 217 pages. Artif. Life 16(4): 333-335 (2010) - [j16]Ole Steuernagel, Daniel Polani:
Multiobjective Optimization Applied to the Eradication of Persistent Pathogens. IEEE Trans. Evol. Comput. 14(5): 759-765 (2010) - [c49]Sander G. van Dijk, Daniel Polani, Chrystopher L. Nehaniv:
What do You Want to do Today? - Relevant-Information Bookkeeping in Goal-Oriented Behaviour. ALIFE 2010: 176-183 - [c48]Malte Harder, Daniel Polani, Chrystopher L. Nehaniv:
Two Agents Acting as One. ALIFE 2010: 599-606 - [c47]Christoph Salge, Daniel Polani:
From Infotaxis to Boids-like Swarm Behaviour. ALIFE 2010: 696-697
2000 – 2009
- 2009
- [j15]Christoph Salge
Information-Driven Organization of Visual Receptive Fields. Adv. Complex Syst. 12(3): 311-326 (2009) - [j14]Daniel Polani:
RoboCup 2009. Künstliche Intell. 23(4): 61-62 (2009) - [c46]Oliver Obst
Origins of Scaling in Genetic Code. ECAL (2) 2009: 85-93 - [c45]Tom Anthony, Daniel Polani, Chrystopher L. Nehaniv
Impoverished Empowerment: 'Meaningful' Action Sequence Generation through Bandwidth Limitation. ECAL (2) 2009: 294-301 - [c44]Sander G. van Dijk, Daniel Polani, Chrystopher L. Nehaniv
Hierarchical Behaviours: Getting the Most Bang for Your Bit. ECAL (2) 2009: 342-349 - [c43]Jan T. Kim, Daniel Polani:
Exploring Empowerment as a Basis for Quantifying Sustainability. ALIFE 2009: 21-28 - [c42]Dorothée François, Kerstin Dautenhahn
Using real-time recognition of human-robot interaction styles for creating adaptive robot behaviour in robot-assisted play. ALIFE 2009: 45-52 - 2008
- [j13]Nihat Ay, Daniel Polani:
Information Flows in Causal Networks. Adv. Complex Syst. 11(1): 17-41 (2008) - [j12]Mikhail Prokopenko, Daniel Polani, Peter Wang:
Optimizing Associative Information Transfer within Content-addressable Memory. Int. J. Unconv. Comput. 4(3): 273-296 (2008) - [c41]Philippe Capdepuy, Daniel Polani, Chrystopher L. Nehaniv
Adaptation of the Perception-Action Loop Using Active Channel Sampling. AHS 2008: 443-450 - [c40]Tom Anthony, Daniel Polani, Chrystopher L. Nehaniv:
On Preferred States of Agents - how Global Structure is reflected in Local Structure. ALIFE 2008: 25-32 - [c39]Marco Möller, Daniel Polani:
Common Concepts in Agent Groups, Symmetries, and Conformity in a Simple Environment. ALIFE 2008: 420-427 - [c38]Daniel Polani, Mikhail Prokopenko, Matthew Chadwick:
Modelling Stigmergic Gene Transfer. ALIFE 2008: 490-497 - [c37]Dorothée François, Daniel Polani, Kerstin Dautenhahn
Towards socially adaptive robots: A novel method for real time recognition of human-robot interaction styles. Humanoids 2008: 353-359 - [p1]Daniel Polani:
Foundations and Formalizations of Self-organization. Advances in Applied Self-organizing Systems 2008: 19-37 - 2007
- [j11]Alexander S. Klyubin, Daniel Polani, Chrystopher L. Nehaniv
Representations of Space and Time in the Maximization of Information Flow in the Perception-Action Loop. Neural Comput. 19(9): 2387-2432 (2007) - [c36]Piraveenan Mahendra, Daniel Polani, Mikhail Prokopenko
Emergence of Genetic Coding: An Information-Theoretic Model. ECAL 2007: 42-52 - [c35]Philippe Capdepuy, Daniel Polani, Chrystopher L. Nehaniv:
Grounding Action-Selection in Event-Based Anticipation. ECAL 2007: 253-262 - [c34]Philippe Capdepuy, Daniel Polani, Chrystopher L. Nehaniv
Constructing the Basic Umwelt of Artificial Agents: An Information-Theoretic Approach. ECAL 2007: 375-383 - [c33]Dorothée François, Daniel Polani, Kerstin Dautenhahn
On-line behaviour classification and adaptation to human-robot interaction styles. HRI 2007: 295-302 - [c32]Philippe Capdepuy, Daniel Polani, Chrystopher L. Nehaniv
Maximization of Potential Information Flow as a Universal Utility for Collective Behaviour. ALIFE 2007: 207-213 - [c31]Tobias Jung, Daniel Polani:
Learning RoboCup-Keepaway with Kernels. Gaussian Processes in Practice 2007: 33-57 - 2006
- [j10]Lars Olsson, Chrystopher L. Nehaniv
From unknown sensors and actuators to actions grounded in sensorimotor perceptions. Connect. Sci. 18(2): 121-144 (2006) - [j9]Daniel Polani, Chrystopher L. Nehaniv, Alexander S. Klyubin, Lars Olsson:
Information in the Perception and Action of Embodied Agents. Künstliche Intell. 20(3): 35-38 (2006) - [c30]Daniel Polani, Olaf Sporns, Max Lungarella:
How Information and Embodiment Shape Intelligent Information Processing. 50 Years of Artificial Intelligence 2006: 99-111 - [c29]Tobias Jung, Daniel Polani:
Least Squares SVM for Least Squares TD Learning. ECAI 2006: 499-503 - [c28]Tobias Jung, Daniel Polani:
Sequential Learning with LS-SVM for Large-Scale Data Sets. ICANN (2) 2006: 381-390 - [c27]Philippe Capdepuy, Daniel Polani, Chrystopher L. Nehaniv
Construction of an Internal Predictive Model by Event Anticipation. SAB ABiALS 2006: 218-232 - [c26]Mikhail Prokopenko
Optimizing Potential Information Transfer with Self-referential Memory. UC 2006: 228-242 - 2005
- [c25]Alexander S. Klyubin, Daniel Polani, Chrystopher L. Nehaniv
Empowerment: a universal agent-centric measure of control. Congress on Evolutionary Computation 2005: 128-135 - [c24]Robert Lowe, Chrystopher L. Nehaniv, Daniel Polani, Lola Cañamero:
The degree of potential damage in agonistic contests and its effects on social aggression, territoriality and display evolution. Congress on Evolutionary Computation 2005: 351-358 - [c23]David Jacob, Daniel Polani, Chrystopher L. Nehaniv:
Legs that can walk: embodiment-based modular reinforcement learning applied. CIRA 2005: 365-372 - [c22]David Jacob, Daniel Polani, Chrystopher L. Nehaniv:
Faster learning in embodied systems through characteristic attitudes. CIRA 2005: 573-579 - [c21]Lars Olsson, Chrystopher L. Nehaniv, Daniel Polani:
Sensor adaptation and development in robots by entropy maximization of sensory data. CIRA 2005: 587-592 - [c20]Daniel Polani, Peter Dauscher, Thomas Uthmann:
On a Quantitative Measure for Modularity Based on Information Theory. ECAL 2005: 393-402 - [c19]Alexander S. Klyubin, Daniel Polani, Chrystopher L. Nehaniv
All Else Being Equal Be Empowered. ECAL 2005: 744-753 - 2004
- [j8]Enrico Pagello, Emanuele Menegatti, Ansgar Bredenfeld, Paulo Costa, Thomas Christaller, Adam Jacoff, Daniel Polani, Martin A. Riedmiller, Alessandro Saffiotti, Elizabeth Sklar, Takashi Tomoichi:
RoboCup-2003: New Scientific and Technical Advances. AI Mag. 25(2): 81-98 (2004) - [c18]Lars Olsson, Chrystopher L. Nehaniv
Sensory Channel Grouping and Structure from Uninterpreted Sensor Data. Evolvable Hardware 2004: 153-160 - [c17]Alexander S. Klyubin, Daniel Polani, Chrystopher L. Nehaniv
Organization of the Information Flow in the Perception-Action Loop of Evolved Agents. Evolvable Hardware 2004: 177- - [e1]Daniel Polani, Brett Browning, Andrea Bonarini
RoboCup 2003: Robot Soccer World Cup VII. Lecture Notes in Computer Science 3020, Springer 2004, ISBN 3-540-22443-2 [contents] - 2003
- [j7]Minoru Asada, Oliver Obst, Daniel Polani, Brett Browning, Andrea Bonarini, Masahiro Fujita, Thomas Christaller, Tomoichi Takahashi, Satoshi Tadokoro, Elizabeth Sklar, Gal A. Kaminka:
An Overview of RoboCup-2002 Fukuoka/Busan. AI Mag. 24(2): 21-40 (2003) - [c16]Robert Lowe, Daniel Polani:
Preventing Bluff Agent Invasions in Honest Societies. ECAL 2003: 118-127 - [c15]Daniel Polani:
Measuring Self-Organization via Observers. ECAL 2003: 667-675 - [c14]Daniel Polani:
Towards a Probabilistic Asynchronous Linear Control Theory. RoboCup 2003: 720-728 - 2001
- [j6]Kerstin Dautenhahn, Daniel Polani, Thomas Uthmann:
Guest Editor's Introduction: Special Issue on Sensor Evolution. Artif. Life 7(2): 95-98 (2001) - [j5]Achim Liese, Daniel Polani, Thomas Uthmann:
A Study of the Simulated Evolution of the Spectral Sensitivity of Visual Agent Receptors. Artif. Life 7(2): 99-124 (2001) - [j4]Felix Flentge, Daniel Polani, Thomas Uthmann:
Modelling the Emergence of Possession Norms using Memes. J. Artif. Soc. Soc. Simul. 4(4) (2001) - [j3]Günter Bruns, Daniel Polani, Thomas Uthmann:
Eine virtuelle kontinuierliche Welt als Testbett für KI-Modelle. Künstliche Intell. 15(1): 60-62 (2001) - [c13]Daniel Polani, Thomas Martinetz, Jan T. Kim:
An Information-Theoretic Approach for the Quantification of Relevance. ECAL 2001: 704-713 - [c12]Jan T. Kim, Thomas Martinetz, Daniel Polani:
On the Effects of Transcription Factor Properties on the Information Content of Binding Sites. German Conference on Bioinformatics 2001: 192-194 - [c11]Martin Haker, André Meyer, Daniel Polani, Thomas Martinetz:
A Method for Incorporation of New Evidence to Improve World State Estimation. RoboCup 2001: 362-367 - 2000
- [j2]Daniel Polani, Thomas Uthmann, Kerstin Dautenhahn:
Evolution of Sensors in Nature, Hardware and Simulation. Künstliche Intell. 14(1): 33-35 (2000) - [c10]Achim Liese, Daniel Polani, Thomas Uthmann:
On the development of spectral properties of visual agent receptors through evolution. GECCO 2000: 857- - [c9]Daniel Polani, Risto Miikkulainen:
Eugenic Neuro-Evolution for Reinforcement Learning. GECCO 2000: 1041-1046 - [c8]Michael Wünstel, Daniel Polani, Thomas Uthmann, Jürgen Perl:
Behavior Classification with Self-Organizing Maps. RoboCup 2000: 108-118 - [c7]Daniel Polani, Thomas Martinetz:
Team Description for Lucky Lübeck - Evidence-Based World State Estimation. RoboCup 2000: 481-484
1990 – 1999
- 1999
- [c6]Daniel Polani, Thomas Uthmann:
Mainz Rolling Brains. RoboCup 1999: 604-607 - 1998
- [c5]Daniel Polani, Stefan Weber, Thomas Uthmann:
A Direct Approach to Robot Soccer Agents: Description for the Team MAINZ ROLLING BRAINS Simulation League of RoboCup'98. RoboCup 1998: 390-395 - 1997
- [j1]Peter Mössinger, Daniel Polani, René Spalt, Thomas Uthmann:
A virtual testbed for analysis and design of sensorimotoric aspects of agent control. Simul. Pract. Theory 5(7-8): 671-687 (1997) - [c4]Daniel Polani:
Fitness Functions for the Optimization of Self-Organizing Maps. ICGA 1997: 776-783 - 1996
- [b1]Daniel Polani:
Adaption der Topologie von Kohonen-Karten durch genetische Algorithmen. University of Mainz, Germany, DISKI 143, Infix 1996, ISBN 978-3-89601-143-5, pp. I-XII, 1-224 - 1995
- [c3]Peter Mössinger, Daniel Polani, René Spalt, Thomas Uthmann:
XRaptor: A Synthetic Multi-Agent Environment for Evaluation of Adaptive Control Mechanisms. EUROSIM 1995: 1229-1234 - 1993
- [c2]Daniel Polani, Thomas Uthmann:
Training Kohonen Feature Maps in Different Topologies: An Analysis Using Genetic Algorithms. ICGA 1993: 326-333 - 1992
- [c1]Daniel Polani, Thomas Uthmann:
Adaptation of Kohonen Feature Map Topologies by Genetic Algorithms. PPSN 1992: 423-432
Coauthor Index
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