Department of Computer Science


Publications Daniel Polani

Publications Daniel Polani

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For more up-to-date lists, check the Herts institutional repository


2016

Polani, D., (2016). Laws of Cognition for Artificial Intelligence. FoCAS Reading Room. Published under the Fundamentals of Collective Adaptive Systems FET Proactive Initiative. http://www.focas-reading-room.eu/laws-of-cognition-for-artificial-intelligence.

Antonelli, G., Caffaz, A., Casalino, G., Volpi, N. C., de Jong, I. B., Palma, D. D., Duarte, H., Grimsdale, J., Indiveri, G., Jesus, S., Kebkal, K., Pascoal, A., Polani, D., and Pollini, L., (2016). The Widely scalable Mobile Underwater Sonar Technology (WiMUST) H2020 project: First year status. In OCEANS 2016 - Shanghai, 1-8. http://dx.doi.org/10.1109/OCEANSAP.2016.7485587.

Biehl, M., Ikegami, T., and Polani, D., (2016). Towards information based spatiotemporal patterns as a foundation for agent representation in dynamical systems. In Proceedings of Artificial Life 2016. Download from MIT Press. http://dx.doi.org/http://dx.doi.org/10.7551/978-0-262-33936-0-ch115.

Catenacci Volpi, N., de Palma, D., Polani, D., and Indiveri, G., (2016). Computation of Empowerment for an Autonomous Underwater Vehicle. In 9th IFAC Symposium on Intelligent Autonomous Vehicles (IAV 2016) in Leipzig, Germany, vol. 49-2, 81-87. http://dx.doi.org/10.1016/j.ifacol.2016.07.713.

Burgos, A., and Polani, D., (2016a). An informational study of the evolution of codes and of emerging concepts in populations of agents, Artificial Life, 22(2). Download preprint from UH Repository. http://dx.doi.org/10.1162/ARTL_a_00199.

Burgos, A., and Polani, D., (2016). Cooperation and antagonism in information exchange in a growth scenario with two species. Journal of Theoretical Biology, 399:117-133. Download from ScienceDirect. http://dx.doi.org/10.1016/j.jtbi.2016.04.006.


2015

Salge, C., Ay, N., Polani, D., and Prokopenko, M., (2015). Zipf's Law: Balancing Signal Usage Cost and Communication Efficiency. PLoS ONE, 10(10):e0139475. http://dx.doi.org/doi:10.1371/journal.pone.0139475.

Trendafilov, D., Maye, A., Polani, D., Murray-Smith, R., and Engel, A. K., (2015). Mutual Information as a Measure of Coordination in Collaborative Interaction. In Proc. International Workshop on Ubiquitous and Collaborative Computing (iUBICOM) at the British Human Computer Interaction Conference. Download preprint from UH Repository.

Maye, A., Trendafilov, D., Polani, D., and Engel, A., (2015). A visual attention mechanism for autonomous robots controlled by sensorimotor contingencies. In IROS Workshop on Sensorimotor Contingencies For Robotics.

Al-Khatib, H., Antonelli, G., Caffaz, A., Caiti, A., Casalino, G., Bielic de Jong, I., Duarte, H., Indiveri, G., Jesus, S., Kebkal, K., Pascoal, A., and Polani, D., (2015a). Navigation, Guidance and Control of Underwater Vehicles within the Widely scalable Mobile Underwater Sonar Technology Project: an overview. In IFAC Workshop on Navigation, Guidance and Control of Underwater Vehicles (NGCUV 2015), vol. 48-2, 189-193. 4th IFA. Workshop on Navigation, Guidance and Controlof Underwater Vehicles (NGCUV 2015). Download from ScienceDirect. http://dx.doi.org/10.1016/j.ifacol.2015.06.031.

Al-Khatib, H., Antonelli, G., Andrea Caffaz, A. C., Casalino, G., Bielic de Jong, I., Duarte, H., Indiveri, G., Jesus, S., Kebkal, K., Pascoal, A., and Polani, D., (2015). The Widely scalable Mobile Underwater Sonar Technology (WiMUST) project: an overview. In Oceans 15 MTS/IEEE, Genova, 1-5. http://dx.doi.org/10.1109/OCEANS-Genova.2015.7271688.

Glackin, C., Salge, C., Polani, D., Tüttemann, M., Vogel, C., Guerrero, C. R., Grosu, V., Grosu, S., Olenšek, A., Zadravec, M., Cikajlo, I., Matjačić, Z., Leu, A., and Ristić-Durrant, D., (2015). Learning gait by therapist demonstration for natural-like walking with the CORBYS powered orthosis. In 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 5605-5610. http://dx.doi.org/10.1109/IROS.2015.7354172.

Andrei Robu, C. S., and Polani, D., (2015). Time-keeping with Limited Clocks. Extended abstract, Workshop on Information Theory in Artificial Life at the European Conference of Artificial Life. Download Abstract from MPI.

Biehl, M., and Polani, D., (2015). Apparent Actions and Apparent Goal-Directedness. In Andrews, P., Caves, L., Doursat, R., Hickinbotham, S., Polack, F., Stepney, S., Taylor, T., and Timmis, J., editors, (2015). Proceedings of the European Conference on Artificial Life 2015. MIT Press. 511. Long abstract. http://dx.doi.org/10.7551/978-0-262-33027-5-ch089.

Burgos, A., and Polani, D., (2015). Informational Parasites in Code Evolution. In Andrews, P., Caves, L., Doursat, R., Hickinbotham, S., Polack, F., Stepney, S., Taylor, T., and Timmis, J., editors, (2015). Proceedings of the European Conference on Artificial Life 2015. MIT Press. 629-636. http://dx.doi.org/10.7551/978-0-262-33027-5-ch109.

Trendafilov, D., Polani, D., and Murray-Smith, R., (2015). Model of Coordination Flow in Remote Collaborative Interaction . In IEEE UKSim-AMSS 17th International Conference on Computer Modelling and Simulation (UKSim2015). Cambridge, United Kingdom. Best Paper Award. http://uksim.info/uksim2015/data/8713a361.pdf.


2014

Glackin, C., Salge, C., Greaves, M., Polani, D., Slavnić, S., Ristić-Durrant, D., Leu, A., and Matjacić, Z., (2014). Gait Trajectory Prediction using Gaussian Process Ensembles. In Proc. IEEE-RAS International Conference on Humanoid Robots (Humanoids). http://dx.doi.org/10.1109/HUMANOIDS.2014.7041428.

Salge, C., and Polani, D., (2014). Don't Believe Everything You Hear: Preserving Relevant Information by Discarding Social Information. In Proc. Artificial Life 14, 837-844. http://dx.doi.org/10.7551/978-0-262-32621-6-ch137.

Burgos, A., and Polani, D., (2014). An Informational Study of the Evolution of Codes in Different Population Structures. In Proc. Artificial Life 14, 352-359. Best Student Paper Award. http://dx.doi.org/10.7551/978-0-262-32621-6-ch056.

Biehl, M., Salge, C., and Polani, D., (2014). Towards Designing Artificial Universes for Artificial Agents under Interaction Closure. In Proc. Artificial Life 14, 949-956. http://dx.doi.org/10.7551/978-0-262-32621-6-ch154.

Leu, A., Ristić-Durrant, D., Slavnić, S., Glackin, C., Salge, C., Polani, D., Badii, A., Khan, A., and Raval, R., (2013). CORBYS cognitive control architecture for robotic follower. In Proceedings of the 2013 IEEE/SICE International Symposium on System Integration, 394-399. http://dx.doi.org/10.1109/SII.2013.6776636.

Guckelsberger, C., and Polani, D., (2014). When a Resource Becomes Scarce: Effects of Anticipation in Individually Motivated Behaviour on Control and Survival in a Multi-Agent Scenario . Entropy, 16(6):3357-3378. http://dx.doi.org/10.3390/e16063357

Salge, C., Glackin, C., and Polani, D., (2014a). Changing the Environment based on Empowerment as Intrinsic Motivation. Entropy, 16:2789-2819. http://dx.doi.org/10.3390/e16052789

Salge, C., Glackin, C., and Polani, D., (2014). Empowerment -- An Introduction. In Prokopenko, M., editor, Guided Self-Organization: Inception. Springer. In Press. CoRR, abs/1310.1863.

Salge, C., Glackin, C., Ristic-Durrant, D., Greaves, M., and Polani, D., (2014b). Information-Theoretic Measures as a Generic Approach to Human-Robot Interaction: Application in CORBYS Project. In HRI Late-Breaking Papers.


2013

Salge, C., Glackin, C., and Polani, D., (2013). Empowerment and State-dependent Noise - An Intrinsic Motivation for Avoiding Unpredictable Agents. In Lio , P., Miglino, O., Nicosia, G., Nolfi, S., and Pavone, M., editors, Proceedings of the twelfth European Conference on the Synthesis and Simulation of Living Systems, 118-125. DOI:10.7551/978-0-262-31709-2-ch018 (Download from MIT Press).

Biehl, M., and Polani, D., (2013). Some ways to see two in one. In Lio , P., Miglino, O., Nicosia, G., Nolfi, S., and Pavone, M., editors, Proceedings of the twelfth European Conference on the Synthesis and Simulation of Living Systems, 1099-1106. DOI:10.7551/978-0-262-31709-2-ch165 (Download from MIT Press).

Anthony, T., Polani, D., and Nehaniv, C. L., (2014). General Self-Motivation and Strategy Identification: Case Studies Based on Sokoban and Pac-Man. IEEE Trans. Comput. Intellig. and AI in Games, 1-17. DOI: 10.1109/TCIAIG.2013.2295372 (Preprint)

Polani, D., Prokopenko, M., and Yaeger, L., editors. Advances in Complex Systems (Topical Issue on Guided Self-Organization), 16(2 and 3).

Harder, M., Salge, C., and Polani, D., (2013). Bivariate measure of redundant information. Phys. Rev. E, 87:012130. http://arxiv.org/abs/1207.2080. http://link.aps.org/doi/10.1103/PhysRevE.87.012130, 13.3.2013.

van Dijk, S., and Polani, D., (2013). Informational Constraints-Driven Organization in Goal-Directed Behavior. Advances in Complex Systems. Published online, 30. April 2013, DOI:10.1142/S0219525913500161. (Preprint)


2012

Harder, M., and Polani, D., (2012). Self-Organizing Particle Systems. Advances in Complex Systems, 15:1250089. http://www.worldscientific.com/doi/abs/10.1142/S0219525912500890. (Preprint)

Salge, C., Glackin, C., and Polani, D., (2012). Approximation of Empowerment in the Continuous Domain. Advances in Complex Systems, 16(1/2):1250079. http://www.worldscientific.com/doi/abs/10.1142/S0219525912500798. (Preprint)

Polani, D., (2012). Information in Biological Modelling. Encyclopedia of Systems Biology. Springer. Including accompanying articles on random variables, entropy, information, Kullback-Leibler divergence, and Causal Bayesian Networks.

van Dijk, S. G., and Polani, D., (2012). Informational Drives for Sensor Evolution. In Adami, C., Bryson, D. M., Ofria, C., and Pennock, R. T., editors, Proc. Artificial Life XIII, 333-340. ISAL, MIT Press. (Download from MIT Press).

Burgos, A. C., and Polani, D., (2012). Cooperation and antagonism in information exchange between two species . In Adami, C., Bryson, D. M., Ofria, C., and Pennock, R. T., editors, Proc. Artificial Life XIII, 515-516. ISAL, MIT Press. Extended Abstract. http://mitpress.mit.edu/books/artificial-life-13.


2011

McGregor, S., Polani, D., and Dautenhahn, K., (2011). Generation of Tactile Maps for Artificial Skin. PLoS ONE, 6(11):e26561. http://dx.doi.org/10.1371%2Fjournal.pone.0026561, Nov 2011.

Polani, D., (2011). Development: The Missing Link between Evolution and Learning? IEEE CIS Newsletter on Autonomous Mental Development, 8(2).

Capdepuy, P., Polani, D., and Nehaniv, C. L., (2011). Perception-Action Loops of Multiple Agents: Informational Aspects and the Impact of Coordination. Special Issue of Theory in Biosciences on Guided Self-Organisation. Accepted. (gzipped PDF, 1400 kB)

Salge, C., and Polani, D., (2011). Local Information Maximisation creates Emergent Flocking Behaviour. In Lenaerts, T., Giacobini, M., Bersini, H., Bourgine, P., Dorigo, M., and Doursat, R., editors, Advances in Artificial Life, ECAL 2011: Proceedings of the Eleventh European Conference on Artificial Life, 688-696. Paris, France: MIT Press. (PDF Preprint, 306 kB)

Obst, O., Polani, D., and Prokopenko, M., (2011). Origins of Scaling in Genetic Code. In Kampis, G., Karsai, I., and Szathmáry, E., editors, Advances in Artificial Life. Darwin Meets von Neumann., vol. 5778 of Lecture Notes in Computer Science, 85-93. Berlin / Heidelberg: Springer. (Preprint PDF, 120 kB)

Ji, Z., Amirabdollahian, F., Polani, D., and Dautenhahn, K., (2011). Histogram Based Classification of Tactile Patterns on Periodically Distributed Skin Sensors for a Humanoid Robot. In Proceedings of the 2011 IEEE International Symposium on Robot and Human Interactive Communication, Atlanta, GA (USA), July 31 - August 3. IEEE.

Harder, M., Polani, D., and Nehaniv, C. L., (2011). Think Globally, Sense Locally: From Local Information to Global Features. In Proc. IEEE Symposium Series in Computational Intelligence 2011 -- Symposium on Artificial Life, 70-77. IEEE. (Preprint PDF, 310 kB)

van Dijk, S., and Polani, D., (2011). Look-Ahead Relevant Information: Reducing Cognitive Burden over Prolonged Tasks. In Proc. IEEE Symposium Series in Computational Intelligence 2011 -- Symposium on Artificial Life, 46-53. IEEE. (Preprint PDF, 446 kB)

van Dijk, S., and Polani, D., (2011). Grounding Subgoals in Information Transitions. In Proc. IEEE Symposium Series in Computational Intelligence 2011 -- Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 105-111. IEEE. (Preprint PDF, 451 kB)

Polani, D., (2011). An Informational Perspective on How the Embodiment Can Relieve Cognitive Burden. In Proc. IEEE Symposium Series in Computational Intelligence 2011 -- Symposium on Artificial Life, 78-85. IEEE. (Preprint PDF, 198 kB)

Jung, T., Polani, D., and Stone, P., (2011). Empowerment for Continuous Agent-Environment Systems. Adaptive Behaviour, 19(1):16-39. Published online 13. January 2011. http://dx.doi.org/10.1177/1059712310392389, 13. January 2011. (Preprint PDF, 1880 kB)

Salge, C., and Polani, D., (2011). Digested Information as an Information Theoretic Motivation for Social Interaction . Journal of Artificial Societies and Social Simulation (JASSS), 14(1):5. http://jasss.soc.surrey.ac.uk/14/1/5.html, Feb 2011.

Tishby, N., and Polani, D., (2011). Information Theory of Decisions and Actions. In Cutsuridis, V., Hussain, A., and Taylor, J., editors, Perception-Action Cycle: Models, Architecture and Hardware, 601-636. Springer. (Please contact the authors for a reprint).

McGregor, S., and Polani, D., (2010). Towards Intrinsically Learned Skin Models in Robots. In Dautenhahn, K., and Saunders, J., editors, Proc. 2nd International Symposium on New Frontiers in Human-Robot Interaction at the AISB 2010 convention, 29 March-1 April 2010, De Montfort University, Leicester, UK.


2010

Prokopenko, M., Ay, N., Obst, O., and Polani, D., (2010). Phase Transitions in Least-Effort Communications. Journal of Statistical Mechanics: Theory and Experiment, 11025.

Salge, C., and Polani, D., (2010b). From Infotaxis to Boids-like Swarm Behaviour. In Proc. Artificial Life, Odense, Denmark. Extended Abstract. Accepted. (PDF, 55 kB)

Harder, M., Polani, D., and Nehaniv, C. L., (2010). Two Agents Acting as One. In Proc. Artificial Life, Odense, Denmark. (PDF, 230 kB)

van Dijk, S. G., Polani, D., and Nehaniv, C. L., (2010). What do You Want to do Today? Relevant-Information Bookkeeping in Goal-Oriented Behaviour. In Proc. Artificial Life, Odense, Denmark. (PDF, 231 kB)

Steuernagel, O., and Polani, D., (2010). Multi-Objective Optimization Applied to the Eradication of Persistent Pathogens. IEEE Trans. Evol. Comp. http://dx.doi.org/10.1109/TEVC.2010.2040181


2009

Prokopenko, M., Polani, D., and Chadwick, M., (2009). Stigmergic gene transfer and emergence of universal coding. HFSP Journal, 3(5):317-327. http://dx.doi.org/10.2976/1.3175813, February 2010.

Polani, D., (2009). Information: Currency of Life?. HFSP Journal, 3(5):307-316. http://link.aip.org/link/?HFS/3/307/1, Nov 2009.

van Dijk, S. G., Polani, D., and Nehaniv, C. L., (2009). Hierarchical Behaviours: Getting the Most Bang for your Bit. In Proc. European Conference on Artificial Life 2009, Budapest. Springer. (PDF, 171 kB)

Anthony, T., Polani, D., and Nehaniv, C., (2009). Impoverished Empowerment: `Meaningful' Action Sequence Generation through Bandwidth Limitation. In Proc. European Conference on Artificial Life 2009, Budapest. Springer. (PDF, 231 kB)

Obst, O., Polani, D., and Prokopenko, M., (2009). Origins of Scaling in Genetic Code. In Proc. European Conference on Artificial Life 2009, Budapest. Springer. (PDF, 110 kB)

Salge, C., (2009). Information-Driven Organization of Visual Receptive Fields. Advances in Complex Systems, 12(3):311-326.

François, D., Dautenhahn, K., and Polani, D., (2009). Using Real-Time Recognition of Human-Robot Interaction Styles for Creating Adaptive Robot Behaviour in Robot-Assisted Play. In Proc. IEEE Alife. Best Paper Award. (PDF, 206 kB)

Kim, J. T., and Polani, D., (2009). Exploring Empowerment as a Basis for Quantifying Sustainability. In Proc. IEEE Alife. (PDF, 411 kB)

Siani, H., Singhania, A., Sharma, T., Polani, D., Steuernagel, O., and Aldsworth, T. G., (2009). Growth-Phase related sensitivity to antibiotics; implications for therapy? Society for General Microbiology Spring Meeting (Harrogate International Centre). Poster.


2008

Klyubin, A. S., Polani, D., and Nehaniv, C. L., (2008). Keep Your Options Open: An Information-Based Driving Principle for Sensorimotor Systems. PLoS ONE, 3(12):e4018. http://dx.doi.org/10.1371/journal.pone.0004018, Dec 2008.

François, D., Polani, D., and Dautenhahn, K., (2008). Towards Social Adaptive Robots: A Novel Method for Real-Time Recognition of Human-Robot Interaction Styles. In Proc. Humanoids 08, December 1-3, 2008, Daejeon, Korea.

Möller, M., and Polani, D., (2008). Common Concepts in Agent Groups, Symmetries and Conformity in a Simple Environment. In Bullock, S., Noble, J., Watson, R., and Bedau, M. A., editors, Artificial Life XI: Proceedings of the Eleventh International Conference on the Simulation and Synthesis of Living Systems, Winchester 5-8. Aug., 420-427. MIT Press, Cambridge, MA. http://alifexi.alife.org/papers/ALIFExi_pp420-427.pdf, August 2008.

Anthony, T., Polani, D., and Nehaniv, C. L., (2008). On Preferred States of Agents: how Global Structure is reflected in Local Structure. In Bullock, S., Noble, J., Watson, R., and Bedau, M. A., editors, Artificial Life XI: Proceedings of the Eleventh International Conference on the Simulation and Synthesis of Living Systems, Winchester 5-8. Aug., 25-32. MIT Press, Cambridge, MA. http://alifexi.alife.org/papers/ALIFExi_pp025-032.pdf, Dec 2008.

Polani, D., Prokopenko, M., and Chadwick, M., (2008). Modelling Stigmergic Gene Transfer. In Bullock, S., Noble, J., Watson, R., and Bedau, M. A., editors, Artificial Life XI: Proceedings of the Eleventh International Conference on the Simulation and Synthesis of Living Systems, Winchester 5-8. Aug., 490-497. MIT Press, Cambridge, MA. http://alifexi.alife.org/papers/ALIFExi_pp490-497.pdf, Dec 2008.

Polani, D., and Möller, M., (2008). Models of Information Processing in the Sensorimotor Loop. In Dehmer, M., and Emmert-Streib, F., editors, Information Theory and Statistical Learning, 289-308. Springer.

Capdepuy, P., Polani, D., and Nehaniv, C. L., (2008). Adaptation of the Perception-Action Loop Using Active Channel Sampling. In Proc. NASA/ESA Conference on Adaptive Hardware and Systems, June 22-25, Noordwijk, 443-450. (PDF, 243 kB)

Ay, N., and Polani, D., (2008). Information Flows in Causal Networks. Advances in Complex Systems, 11(1):17-41.

Prokopenko, M., Polani, D., and Wang, P., (2008). Optimizing Associative Information Transfer within Content-addressable Memory. International Journal of Unconventional Computing, 4(3):273-296.


2007

Klyubin, A., Polani, D., and Nehaniv, C., (2007). Representations of Space and Time in the Maximization of Information Flow in the Perception-Action Loop. Neural Computation, 19(9):2387-2432.

François, D., Polani, D., and Dautenhahn, K., (2007). On-line behaviour classification and adaptation to human-robot interaction styles. In ACM SIGCHI/SIGART Human-Robot Interaction archive Proceedings of the ACM/IEEE Conference on Human Robot Interaction HRI 2007, Arlington, Virginia, USA, 295-302. ACM.

Polani, D., Sporns, O., and Lungarella, M., (2007). How Information and Embodiment Shape Intelligent Information Processing. In Lungarella, M., Iida, F., Bongard, J., and Pfeifer, R., editors, Proc. 50th Anniversary Summit of Artificial Intelligence, 99-111. Springer-Verlag: Berlin, Heidelberg, New York.

Polani, D., (2007). Foundations and Formalizations of Self-Organization. In Prokopenko, M., editor, Advances in Applied Self-organizing Systems, Advanced Information and Knowledge Processing, 19-37. London, UK: Springer-Verlag.

Capdepuy, P., Polani, D., and Nehaniv, C. L., (2007a). Constructing the Basic Umwelt of Artificial Agents: An Information-Theoretic Approach. In Almeida e Costa, F., Rocha, L. M., Costa, E., Harvey, I., and Coutinho, A., editors, Advances in Artificial Life (Proc.ECAL 2007, Lisbon), vol. 4648 of LNCS, 375-383. Berlin: Springer.

Capdepuy, P., Polani, D., and Nehaniv, C. L., (2007b). Grounding Action-Selection in Event-Based Anticipation. In Almeida e Costa, F., Rocha, L. M., Costa, E., Harvey, I., and Coutinho, A., editors, Advances in Artificial Life (Proc.\ ECAL 2007, Lisbon), vol. 4648 of LNCS, 253-262. Berlin: Springer.

Piraveenan, M., Polani, D., and Prokopenko, M., (2007). Emergence of Genetic Coding: an Information-theoretic View. In Almeida e Costa, F., Rocha, L. M., Costa, E., Harvey, I., and Coutinho, A., editors, Advances in Artificial Life (Proc.\ ECAL 2007, Lisbon), vol. 4648 of LNCS, 42-52. Berlin: Springer. (PDF, 192 kB).

Capdepuy, P., Polani, D., and Nehaniv, C. L., (2007a). Construction of an Internal Predictive Model by Event Anticipation. In Butz, M., Sigaud, O., Pezzulo, G., and Baldassarre, G., editors, Proceedings of the Third Workshop on Anticipatory Behavior in Adaptive Learning Systems, LNCS/LNAI, 218-232. Springer.

Capdepuy, P., Polani, D., and Nehaniv, C., (2007). Maximization of Potential Information Flow as a Universal Utility for Collective Behaviour. In 2007 IEEE Symposium on Artificial Life, 207-213. IEEE. (Preprint, 477 kB).

Jung, T., and Polani, D., (2007). Kernelizing LSPE($\lambda$). In Proc. 2007 IEEE International Symposium on Approximate Dynamic Programming and Reinforcement Learning, April 1-5, Hawaii, 338-345. (Preprint, 145 kB).

Jung, T. and Polani, D. (2007). Learning RoboCup-Keepaway with Kernels. In Lawrence, N., Schwaighofer, A., and Candela, J. Q., editors, Gaussian Processes in Practice, volume 1 of JMLR Workshop and Conference Proceedings, pages 33-57. Preprint. (PDF, 147 kB)


2006

Polani, D., Nehaniv, C. L., Klyubin, A. S., and Olsson, L., (2006). Information in the Perception and Action of Embodied Agents. Künstliche Intelligenz, 3/06:35-38. Special Issue on Learning and Self-organization of Behavior. (Abstract)

Capdepuy, P., Polani, D., and Nehaniv, C. L., (2006). Construction of an Internal Predictive Model by Event Anticipation. In Butz, M., Sigaud, O., Pezzulo, G., and Baldassarre, G., editors, Proceedings of the Third Workshop on Anticipatory Behavior in Adaptive Learning Systems, LNCS/LNAI. Springer.

Polani, D., (2006). Emergence, Intrinsic Structure of Information, and Agenthood. InterJournal Complex Systems, 1973. (Download from InterJournal)

Jung, T., and Polani, D., (2006b). Least Squares SVM for Least Squares TD Learning. In Proc. 17th European Conference on Artificial Intelligence, 28. August-1. September, Riva del Garda, Italy (ECAI), 499-503. (PDF, 371 kB)

Jung, T., and Polani, D., (2006c). Sequential Learning with LS-SVM for Large-Scale Data Sets. In Proc. 16th International Conference on Artificial Neural Networks, 10-14. September 2006, Athens, Greece, vol. 2, 381-390. (PDF, 135 kB)

Prokopenko, M., Polani, D., and Wang, P., (2006). Optimizing Potential Information Transfer with Self-referential Memory. In Proc. Unconventional Computation 2006. (Accepted). Preprint. (PDF, 134 kB)

Polani, D., Nehaniv, C., Martinetz, T., and Kim, J. T., (2006). Relevant Information in Optimized Persistence vs. Progeny Strategies. In M.Rocha, L., Bedau, M., Floreano, D., Goldstone, R., Vespignani, A., and Yaeger, L., editors, (2006). Proc. Artificial Life X. (PDF, 163 kB)

Dauscher, P., Polani, D., and Watson, R., (2006). A Simple Modularity Measure for Search Spaces based on Information Theory. In M.Rocha, L., Bedau, M., Floreano, D., Goldstone, R., Vespignani, A., and Yaeger, L., editors, (2006). Proc. Artificial Life X. (PDF, 82 kB)

Olsson, L., Nehaniv, C., and Polani, D., (2006a). Measuring Informational Distances Between Sensors and Sensor Integration. In M.Rocha, L., Bedau, M., Floreano, D., Goldstone, R., Vespignani, A., and Yaeger, L., editors, (2006). Proc. Artificial Life X. (PDF, 117 kB)

Olsson, L., Nehaniv, C. L., and Polani, D., (2006b). From Unknown Sensors and Actuators to Actions Grounded in Sensorimotor Perceptions. Connection Science, 18(2). Special Issue on Developmental Robotics, Douglas Blank and Lisa Meeden, editors. (PDF, 500 kB, Preprint)


2005

Klyubin, A. S., Polani, D., and Nehaniv, C. L., (2005). Empowerment: A Universal Agent-Centric Measure of Control. In Proc. CEC 2005. IEEE. (PDF, 121 kB)

Klyubin, A. S., Polani, D., and Nehaniv, C. L., (2005). All Else Being Equal Be Empowered. Advances in Artficial Life, European Conference on Artificial Life (ECAL 2005), vol. 3630 of LNAI, 393-402. Springer. (PDF, 215 kB)

Polani, D., Dauscher, P., and Uthmann, T., (2005). On a Quantitative Measure for Modularity Based on Information Theory. In Advances in Artficial Life, European Conference on Artificial Life (ECAL 2005), vol. 3630 of LNAI, 393-402. Springer. (PDF, 160 kB)

Olsson, L., Nehaniv, C., and Polani, D., (2005). Discovering Motion Flow by Temporal-Informational Correlations in Sensors. In Epigenetic Robotics. (PDF, 247 kB)

Olsson, L., Nehaniv, C., and Polani, D., (2005). From Unknown Sensors and Actuators to Visually Guided Movement. In ICDL. (PDF, 258 kB)

Olsson, L., Nehaniv, C., and Polani, D., (2005). Sensor Adaptation and Development in Robots by Entropy Maximization of Sensory Data. In CIRA, Espoo, Finland. (PDF, 270 kB)

Nehaniv, C. L., Polani, D., Olsson, L. A., and Klyubin, A., (2005). Evolutionary Information-Theoretic Foundations of Sensory Ecology: Channels of Organism-Specific Meaningful Information. In da Fontoura Costa, L., and Müller, G. B., editors, Modeling Biology: Structures, Behaviour, Evolution, Vienna Series in Theoretical Biology. MIT press. Invited lecture at the 10th Altenberg Workshop in Theoretical Biology, July 9-11, 2004, Konrad Lorenz Institute for Evolution and Cognition Research, Altenberg, Austria. In preparation.

Jacob, D., Polani, D., and Nehaniv, C. L., (2005). Faster Learning in Embodied Systems through Characteristic Attitudes. In CIRA special session on Ontological Robotics. IEEE.

Jacob, D., Polani, D., and Nehaniv, C. L., (2005). Legs that can walk: Embodiment-Based Modular Reinforcement Learning applied. In CIRA. IEEE.


2004

Polani, D., (2004). Defining Emergent Descriptions by Information Preservation. InterJournal Complex Systems, 1102. (Download from InterJournal)

Olsson, L., Nehaniv, C., and Polani, D., (2004a). The Effects on Visual Information in a Robot in Environments with Oriented Contours. In Proc. Epigenetic Robotics. (PDF, 141 kB)

Klyubin, A. S., Polani, D., and Nehaniv, C. L., (2004a). Organization of the Information Flow in the Perception-Action Loop of Evolved Agents. In Proceedings of 2004 NASA/DoD Conference on Evolvable Hardware. IEEE Computer Society. Technical Report No.\ 400, Department of Computer Science, Faculty of Engineering and Information Sciences, University of Hertfordshire. (gzipped postscript, 60 kB/PDF, 124 kB)

Klyubin, A. S., Polani, D., and Nehaniv, C. L., (2004b). Tracking Information Flow through the Environment: Simple Cases of Stigmergy. In Proc. Artificial Life IX. Technical Report No. 402, Department of Computer Science, Faculty of Engineering and Information Sciences, University of Hertfordshire. (gzipped postscript, 54 kB/PDF, 98 kB)

Olsson, L., Nehaniv, C. L., and Polani, D., (2004b). Information Trade-Offs and the Evolution of Sensory Layouts. In Proc. Artificial Life IX. (PDF, 267 kB)

Olsson, L., Nehaniv, C. L., and Polani, D., (2004c). Sensory Channel Grouping and Structure from Uninterpreted Sensor Data. In Proc. Evolvable Hardware. Technical Report No. 401, Department of Computer Science, Faculty of Engineering and Information Sciences, University of Hertfordshire. (gzipped ps, 273 kB/PDF, 302 kB)

Lowe, R., Cañamero, L., Nehaniv, C., and Polani, D., (2004). The Evolution of Affect Related Displays, Recognition and Related Strategies. In Proc. Artificial Life IX.

Polani, D., Browning, B., Bonarini, A., and Yoshida, K., editors, (2004). RoboCup 2003: Robot Soccer World Cup VII, vol. 3020 of LNCS. Springer.

Pagello, E., Polani, D., and et al., (2004). An Overview of RoboCup 2003 Padua/Italy. AI Magazine.

Franco, S., and Polani, D., (2004b). Skill Learning Via Information-Theoretical Decomposition of Behaviour Features. In RoboCup 2003: Robot Soccer World Cup VII, vol. 3020 of LNCS. Springer. Team Description (CD supplement). (gzipped ps, 273 kB/gzipped PDF, 142 kB)


2003

Polani, D., (2003). Measuring Self-Organization via Observers. In Banzhaf, W., Christaller, T., Ziegler, J., Dittrich, P., Kim, J. T., Lange, H., Martinetz, T., and Schweitzer, F., editors, (2003). Advances in Artificial Life (Proc. 7th European Conference on Artificial Life, Dortmund, September 14-17, 2003). (gzipped postscript, 75 kB/PDF, 202 kB)

Lowe, R., and Polani, D., (2003). Preventing Bluff Agent Invasions in Honest Societies. In Banzhaf, W., Christaller, T., Ziegler, J., Dittrich, P., Kim, J. T., Lange, H., Martinetz, T., and Schweitzer, F., editors, (2003). Advances in Artificial Life (Proc. 7th European Conference on Artificial Life, Dortmund, September 14-17, 2003). (gzipped postscript, 49 kB/PDF, 162 kB)

Polani, D., (2003). Towards a Probabilistic Asynchronous Linear Control Theory. In Polani, D., Browning, B., Bonarini, A., and Yoshida, K., editors, (2003). Proceedings of the RoboCup 2003 Symposium. (gzipped postscript, 124 kB/PDF, 251 kB)

Polani, D., Browning, B., Bonarini, A., and Yoshida, K., editors, (2003). Proceedings of the RoboCup 2003 Symposium.

Polani, D., (2003). Trade-Offs in Sensoric Information Acquisition and Processing. In Miller, J. F., Polani, D., and Nehaniv, C., editors, (2003), 17. (Long abstract). (Text, 2 kB)

Miller, J. F., Polani, D., and Nehaniv, C., editors, (2003). Evolvability and Sensor Evolution Symposium Abstracts, number 384 in Technical Report. University of Hertfordshire, Faculty of Engineering and Information Sciences.

Kim, J. T., Martinetz, T., and Polani, D., (2003). Bioinformatic Principles Underlying the Information Content of Transcription Factor Binding Sites. Journal of Theoretical Biology, 220:529-544.

Kutschinski, E., Uthmann, T., and Polani, D., (2003). Learning Competitive Pricing Strategies by Multi-Agent Reinforcement Learning. Journal of Economic Dynamics & Control, 27(11-12):2207-2218.


2002

Nehaniv, C. L., Polani, D., Dautenhahn, K., te Boekhorst, R., and Cañamero, L., (2002). Meaningful Information, Sensor Evolution, and the Temporal Horizon of Embodied Organism. In Artificial Life VIII, 345-349. MIT Press.

Polani, D., Obst, O., Riley, P., and Ohta, M., (2003). The Simulation League. In Kaminka, G. A., Lima, P. U., and Rojas, R., editors, RoboCup-2002: The Fifth RoboCup Competitions and Conferences. Berlin: Springer. (to appear).

Asada, M., Obst, O., Polani, D., Browning, B., Bonarini, A., Fujita, M., Christaller, T., Takahashi, T., Tadokoro, S., Sklar, E., Kaminka, G. A., the RoboCup 2002 local organizing committee, Eguchi, A., Johnson, J., Riley, P., Hanek, R., Schmitt, T., Buck, S., and Beetz, M., (2003). An Overview of RoboCup 2002 Fukuoka/Busan. AI Magazine. Summer.

Polani, D., (2002). On Individuality, Emergence and Information Preservation. In Nehaniv, C. L., and te Boekhorst, R., editors, Proceedings of the Symposium on Evolvability and Individuality, 18-20 September 2002, St. Albans. University of Hertfordshire. Long abstract with references (gzipped postscript, 24 kB/gzipped PDF, 70 kB)

Haker, M., Meyer, A., Kalantary, B., Polani, D., and Martinetz, T., (2002). Team Description for Baltic Lübeck 2002. In Kaminka, G. A., Lima, P. U., and Rojas, R., editors, RoboCup 2002: Robot Soccer World Cup VI, Fukuoka, Japan. Pre-Proceedings.


2001

F. Flentge, D. Polani, and T. Uthmann. Modelling the Emergence of Possession Norms using Memes. Journal of Artificial Societies and Social Simulation, 4(4), November 2001.

M. Haker, A. Meyer, D. Polani, and T. Martinetz: A Method for Incorporation of New Evidence to Improve World State Estimation. In: Proc. RoboCup 2001 Symposium, Seattle, 2001. (gzipped postscript file, 63kB / gzipped and labeled postscript file, 140kB)

D. Polani, J. T. Kim, and T. Martinetz: An Information-Theoretic Approach for the Quantification of Relevance. In: J. Kelemen and P. Sosik (eds.), Advances in Artificial Life (Proc. 6th European Conference on Artificial Life, Prague, September 10-14), LNCS. Springer 2001. (gzipped postscript file, 63kB / PDF file, 167kB, Springer-Verlag)

A. Liese, D. Polani, and T. Uthmann: Study of the Simulated Evolution of the Spectral Sensitivity of Visual Agent Receptors. Artificial Life (Special Issue on Sensor Evolution), 7(2), 2001.

P. Stone (ed.), M. Asada, T. Balch, R. D'Andrea, M. Fujita, B. Hengst, G. Kraetzschmar, P. Lima, N. Lau, H. Lund, D. Polani, P. Scerri, S. Tadokoro, T. Weigel, and G. Wyeth: RoboCup-2000 -- The Fourth Robotic Soccer World Championships. AI magazine, 22(1):11-38, Spring 2001.

D. Polani: Measures for the Organization of Self-Organizing Maps. In: L. Jain and U. Seiffert, editors, Self-Organizing Neural Networks. Recent Advances and Applications. Springer, 2001.

D. Polani, T. Martinetz, and J. T. Kim: On the Quantification of Relevant Information. Presented at SCAI'01 (Scandinavian Conference on Artificial Intelligence), Feb. 19-21, 2001, 2001. (gzipped postscript file, 36kB)

K. Dautenhahn, D. Polani, and T. Uthmann, editors: Artificial Life Journal - Special Issue on Sensor Evolution. MIT Press, 2001.

Bruns, G., Polani, D., and Uthmann, T., (2001). Eine virtuelle kontinuierliche Welt als Testbett für KI-Modelle. nstliche Intelligenz, 1:60-62. In German.

D. Polani and T. Martinetz Team Description for Lucky Lübeck - Evidence Based Position Estimation. In P. Stone, T. Balch, and G. Kraetzschmar, editors, RoboCup-2000: Robot Soccer World Cup IV, LNCS. Springer, 2001. To appear.(gzipped postscript file, 51 kB)


2000

M. Wünstel, D. Polani, T. Uthmann, and J. Perl: Behavior Classification with Self-Organizing Maps. In: Proc. of the 4th International RoboCup Workshop, pages 179-188, 2000. Winner of the RoboCup 2000 Scientific Challenge Award.(gzipped postscript file, 651 kB)

D. Polani and R. Miikkulainen: Eugenic Neuro-Evolution for Reinforcement Learning. In: D. Whitley, D. Goldberg, E. Cantú-Paz, L. Spector, I. Parmee, and H.-G. Beyer, editors, Proc. Genetic and Evolutionary Computation Conference (GECCO), LasVegas, Nevada, pages 1041-1046. Morgan Kaufmann, 2000. (gzipped postscript file, 59 kB)

F. Flentge, D. Polani, and T. Uthmann: On the Emergence of Possession Norms in Agent Societies. Proc. 7th Conference on Artificial Life, Portland, 2000. (gzipped postscript file, 66 kB)

A. Liese, D. Polani, and T. Uthmann: On the development of spectral properties of visual agent receptors through evolution. In: D. Whitley, D. Goldberg, E. Cantú-Paz, L. Spector, I. Parmee, and H.-G. Beyer, editors, Proc. Genetic and Evolutionary Computation Conference (GECCO), Las Vegas, Nevada, pages 857-864. Morgan Kaufmann, 2000. (gzipped postscript file, 264 kB)

E. Kutschinski, D. Polani, and T. Uthmann: A Decentralized Agent-Based Platform for Automated Trade and its Simulation. Proc. CEF (Computing in Economics and Finance) 2000, Barcelona, 2000. (gzipped postscript file, 62 kB/ PDF file, 201 kB)

E. Kutschinski, D. Polani, and T. Uthmann: DMarks II: An Agent-Based Platform for Automated Trade and its Simulation. 14. ASIM Workshop Simulation and Artificial Intelligence on Multi-Agent Systems and Individual-Based Simulation, 20/21. March 2000.

D. Polani, T. Uthmann, and K. Dautenhahn: Evolution of Sensors in Nature, Hardware and Simulation. Künstliche Intelligenz, 1:33-35, 2000.

D. Polani, T. Uthmann: XRaptor - Eine flexible Umgebung für die Simulation virtueller zeit- und raumkontinuierlicher 2D- und 3D- Agentenszenarien. In: Szczerbicka, H., Uthmann, T., editors, Simulation und Künstliche Intelligenz. State of the Art. SCS European Publishing House, 2000.


1999

D. Polani, T. Uthmann: Eine verteilte Umgebung für agentenbasierte Simulationen von Marktszenarien. In: Proceedings des 13. ASIM Symposiums Simulationstechnik. 1999.

D. Polani, R. Miikkulainen: Fast Reinforcement Learning Through Eugenic Neuro-Evolution. Technical Report AI99-277, Department of Computer Sciences, The University of Texas at Austin, 1999.
Abstract and Paper

D. Polani: On the Optimization of Self-Organizing Maps by Genetic Algorithms (invited paper). In: Oja, E., Kaski, S., editors, Proceedings of the Workshop on Self-Organizing Maps (WSOM '99). Elsevier, 1999

D. Polani, T. Uthmann: Between Teaching and Learning: Development of the Team Rolling Brains for the Simulation League of RoboCup '99. In: Proceedings of the 3rd RoboCup Workshop, Stockholm, 1999. (gzipped postscript file, 51 kB)

D. Polani, T. Uthmann, K. Dautenhahn, co-editors for the Proceedings of the 1999 GECCO Workshop on Evolution of Sensors in Nature, Hardware, and Simulation.

A. Liese, D. Polani, T. Uthmann: Evolution of the spectral properties of a visual agent receptor. In: Wu, A., editor, Proceedings of the 1999 GECCO Workshop Program, Workshop on Evolution of Sensors in Nature, Hardware, and Simulation.1999. (gzipped postscript file, 570 kB)

G. Bruns, P. Mössinger, D. Polani, R. Spalt, T. Uthmann, S. Weber: A Simulation Environment for Continuous Virtual Multi-Agent Systems. (Software).

M. Wünstel, M. Boll, D. Polani, T. Uthmann, J. Perl: Trajectory Clustering using Self-Organizing Maps. (KI-99 Workshop on RoboCup, Bonn, 1999).

G. Bruns, D. Polani, T. Uthmann: Konzepte der Präsentation für Multiagentenszenarien in einer virtuellen kontinuierlichen Welt. KI-99 Workshop Intelligente Virtuelle Umgebungen, Bonn, 1999.


1998

A. Mark, D. Polani, and T. Uthmann: A framework for sensor evolution in a population of braitenberg vehicle-like agents. In: C. Adami, R. Belew, H. Kitano, and C. Taylor, editors, Proceedings of Artificial Life VI, Los Angeles, June 26-29, pages 428-432. MIT Press, June 1998. (gzipped postscript file, 107 kB)

D. Polani, S. Weber, and T. Uthmann: A direct approach to robot soccer agents: Description for the team Mainz Rolling Brains, simulation league of robocup '98. In: M. Asada and H. Kitano, editors, RoboCup-98: Robot Soccer World Cup II. Springer Verlag, Berlin, 1999. (gzipped postscript file, 54 kB)

D. Polani and T. Uthmann: Survival strategies for ant-like agents in a competitive environment. In: C.O. Wilke, S. Altmeyer, and T. Martinetz, editors, Proceedings Third German Workshop on Artificial Life, pages 185-196. Harri Deutsch, September 1998. (gzipped postscript file, 86 kB)


1997

A. Spitzner and D. Polani: Order parameters for self-organizing maps. In: L. Niklasson, M. Boden, and T. Ziemke, editors, Proceedings of the 8th International Conference on Artificial Neural Networks (ICANN 98), Skövde, Sweden, volume 2, pages 517-522. Springer, 1998. (gzipped postscript file, 122 kB)

P. Mössinger, D. Polani, R. Spalt, and T. Uthmann: A virtual testbed for analysis and design of sensorimotoric aspects of agent control. In: Simulation Practice and Theory, 5 (1997) 671-687. (gzipped postscriptfile, 101 kB, Preprint)

D. Polani: Fitness Functions for the Optimization of Self-Organizing Maps. In: Thomas Bäck (ed.), Proceedings of the Seventh International Conference on Genetic Algorithms, pages 776-783, 1997. Morgan Kaufmann. (gzipped postscript file, 137 kB)

D. Polani: Organization measures for self-organizing maps. In: Teuvo Kohonen, editor, Proceedings of the Workshop on Self-Organizing Maps (WSOM '97), pages 280-285. Helsinki University of Technology, June 1997. (gzipped postscript file, 57 kB)

T. Uthmann and D. Polani: Investigations of the Dynamics of an Evolving Agent Population. Proceedings of the Second German Workshop on Artificial Life, 1997. (gzipped postscript file, 39 kB)


1996

J. Wedel and D. Polani: Critic-based Learning of Actions with Self-Organizing Feature Maps. Technical report 5/96, Institut für Informatik, Universität Mainz, October 1996. (gzipped postscript file, 147 kB)

D. Polani: Adaption der Topologie von Kohonen-Karten durch Genetische Algorithmen. (Dissertation.) Volume 143 of 'Dissertationen zur Künstlichen Intelligenz'. Infix 1996. (In German).

T. Uthmann and D. Polani: Verteilte Künstliche Intelligenz in einer virtuellen Welt mit selbstorganisierenden Karten und Genetischen Algorithmen. In: Proceedings der Workshops der 20. Deutschen Jahrestagung für Künstliche Intelligenz (KI-96), Dresden, September 1996. (Abstract).

T. Uthmann und D. Polani: VKI in einer virtuellen Welt mit selbstorganisierenden Karten und Genetischen Algorithmen. In: Hans Haugeneder, Gerhard Kraetzschmar, Jürgen Müller, Gerhard Weiss, Stefan Wrobel, editors, Lernen, Adaption und Selbstorganisation in verteilten intelligenten Systemen. Forschungsbericht FKI-217-96, Institut fuer Informatik, Technische Universität München, pages 52-67, 1996. (gzipped postscript file, 65 kB)


-1995

D. Polani: On the Choice of Organization Measures for Self-Organizing Feature Maps. Technical report 1/95, Institut für Informatik, Universität Mainz, 1995. (gzipped postscript file, 634 kB)

P. Mössinger, D. Polani, R. Spalt, and T. Uthmann: XRaptor - A synthetic Multi-Agent Environment for Evaluation of Adaptive Control Mechanisms. In: F. Breitenecker and I. Husinsky, editors, EUROSIM '95. Elsevier, 1995. (gzipped postscript file, 24 kB)

D. Polani and T. Uthmann: Training Kohonen Feature Maps in different Topologies: an Analysis using Genetic Algorithms. In: Stephanie Forrest, editor, Proceedings of the Fifth International Conference on Genetic Algorithms, pages 326-333, San Mateo, CA, July 1993. Morgan Kaufmann. (PDF file, 335 kB)

D. Polani und T. Uthmann: Neuronale Netze - Grundlagen und ausgewählte Aspekte der Theorie. Technical Report 2/92, Institut für Informatik, Universität Mainz, 1992, revidiert 1993. (gzipped postscript file, 376 kB)

D. Polani and T. Uthmann: Adaptation of Kohonen Feature Map Topologies by Genetic Algorithms. In: R. Männer and B. Manderick, editors, Parallel Problem Solving from Nature, 2, pages 421-429. Elsevier Science Publishers B.V., September 1992. (PDF file, 165 kB)


Last changed at Mon Feb 6 12:42:20 2017 by D. Polani