Journal papers

Di Paolo, E. A. (2016). Participatory object perception. Journal of Consciousness Studies, 23(5–6), 228–258.

De Jaegher, H., Di Paolo, E. and Adolphs, R. (2016). What does the Interactive Brain Hypothesis mean for Social Neuroscience? A dialogue, Philosophical Transactions of the Royal Society B, 371, 20150379. http://dx.doi.org/10.1098/rstb.2015.0379.

Di Paolo E. A. (2016). Across the uncanny valley: The ecological, the enactive, and the strangely familiar. Constructivist Foundations, 11(2): 327–329.

Hu, X-B., Wang, M., Leeson, M. S., Di Paolo, E. A. and Liu, H. (2016). Deterministic agent-based path optimization by mimicking the spreading of ripples, Evolutionary Computation, 24(2), 319-346, doi:10.1162/EVCO_a_00156.

Buhrmann, T., and Di Paolo, E. (2015). The sense of agency – a phenomenological consequence of enacting sensorimotor schemes, Phenomenology and the Cognitive Sciences, doi: 10.1007/s11097-015-9446-7. (online first).

Bermejo, F, Di Paolo, E., Hüg, M. X. and Arias, C. (2015). Sensorimotor strategies for recognizing geometrical shapes: a comparative study with different sensory substitution devices. Front. Psychol. 6:679. doi: 10.3389/fpsyg.2015.00679.

Di Paolo, E. and De Jaegher, H. (2015). Toward an embodied science of intersubjectivity: widening the scope of social understanding research. Front. Psychol. 6:234. doi: 10.3389/fpsyg.2015.00234.

Di Paolo, E. (2015). Interactive time-travel: On the intersubjective retro-modulation of intentions, Journal of Consciousness Studies, 22, No. 1–2, 49–74.

Cuffari, E. Di Paolo, E., De Jaegher, H. (2015). From participatory sense-making to language: There and back again, Phenomenology and the Cognitive Sciences, 14(4):1089-1125, doi 10.1007/s11097-014-9404-9.

Kyselo, M. and Di Paolo, E. A. (2015). Locked-in syndrome: A challenge for embodied cognitive science. Phenomenology and the Cognitive Sciences, 14, 517-542, doi: 10.1007/s11097-013-9344-9.

Buhrmann, T. and Di Paolo, E. A. (2014). Spinal circuits can accommodate interaction torques during multijoint limb movements. Front. Comput. Neurosci. 8:144. doi: 10.3389/fncom.2014.00144.

Husbands, P. and Di Paolo, E. A. (2014). The Gomi legacy. Adaptive Behavior,

Di Paolo E. A., Barandiaran X.E., Beaton M., and Buhrmann T. (2014). Learning to perceive in the sensorimotor approach: Piaget’s theory of equilibration interpreted dynamically. Front. Hum. Neurosci. 8:551. doi: 10.3389/fnhum.2014.00551.

Barandiaran, X. E. and Di Paolo, E. A. (2014). A genealogical map of the concept of habit. Front. Hum. Neurosci. 8:522. doi: 10.3389/fnhum.2014.00522.

Di Paolo, E. A. (2014). The worldly constituents of perceptual presence. Front. Psychol. 5:450. doi: 10.3389/fpsyg.2014.00450.

Di Paolo E. A., De Jaegher, H. and Gallagher, S. (2013). One step forward, two steps back – not the Tango: Comment on Gallotti and Frith. Trends in Cognitive Sciences, 17(7): 303-304, doi: 10.1016/j.tics.2013.05.003.

Buhrmann T., Di Paolo E. A., and Barandiaran X. (2013). A dynamical systems account of sensorimotor contingencies. Front. Psychol. 4:285. doi: 10.3389/fpsyg.2013.00285.

McGann, M., De Jaegher, H. and Di Paolo, E. A. (2013) Enaction and psychology. Review of General Psychology, 17(2), 203 – 209 doi: 10.1037/a0032935.

De Jaegher H and Di Paolo E. A.  (2013). Enactivism is not interactionism. Front. Hum. Neurosci. 6:345. doi: 10.3389/fnhum.2012.00345.

Hu, X-B, Wang, M. and Di Paolo, E. A. (2013).Calculating complete and exact Pareto front for multiobjective optimization: A new deterministic approach for discrete problems. IEEE Transactions on Systems, Man, and Cybernetics: Part B, 43(3): 1088-1101, doi: 10.1109/TSMCB.2012.2223756.

Bedia M. G. and Di Paolo E. A. (2012). Unreliable gut feelings can lead to correct decisions: The somatic marker hypothesis in non-linear decision chains. Front. Psychology 3:384. doi: 10.3389/fpsyg.2012.00384.

Di Paolo, E. A. and De Jaegher, H. (2012). The interactive brain hypothesis. Frontiers in Human Neuroscience, 6:163, doi: 10.3389/fnhum.2012.00163.

Egbert, M. D., Barandiaran, X. E., & Di Paolo, E. A. (2012). Behavioral metabolution: The adaptive and evolutionary potential of metabolism-based chemotaxis. Artificial Life, 18(1), 1-25. doi:10.1162/artl_a_00047.

Froese, T. and Di Paolo, E. A. (2011). The enactive approach: Theoretical sketches from cell to society. Pragmatics and Cognition, 19, 1-36.

Hu, X-B. Wang, M., Leeson, M. S, Hines, E. L., and Di Paolo, E. A. (2011). Deterministic ripple-spreading model for complex networks. Physical Review E, 83, 046123, doi: 10.1103/PhysRevE.00.006100.

Hu, X-B. and Di Paolo, E. A. (2011). A ripple-spreading genetic algorithm for the aircraft sequencing problem. Evolutionary Computation, 19(1): 77-106, doi:10.1162/EVCO_a_00011.

Di Paolo, E. A. (2010). Robotics inspired in the organism, Intellectica, 53-54: 129 – 162.

Egbert, M., Barandiaran, X. and Di Paolo, E. A. (2010). A minimal model of metabolism-based chemotaxis. PLoS Computational Biology, 6(12): e1001004. doi:10.1371/journal.pcbi.1001004.

De Jaegher, H, Di Paolo, E. A. and Gallagher, S. (2010). Can social interaction constitute social cognition? Trends in Cognitive Sciences, 14(10), 441 – 447. http://dx.doi.org/10.1016/j.tics.2010.06.009.

Bullock, S., Barnett, L. and Di Paolo, E. A. (2010). Spatial embedding and the structure of complex networks. Complexity, 16(2): 20 – 28, doi:10.1002/cplx.20338.

Husbands, P., Philippides, A., Vargas, P., Buckley, C. L., Fine, P., Di Paolo, E. A., O’Shea, M. (2010). Spatial, temporal and modulatory factors affecting GasNet evolvability. Complexity, 16(2): 35 – 44, http://dx.doi.org/10.1002/cplx.20336.

Froese, T. and Di Paolo, E. A. (2010) Modelling social interaction as perceptual crossing: an investigation into the dynamics of the interaction process. Connection Science, 22(1): 43 – 68.

Froese, T. and Di Paolo, E. A. (2009). Sociality and the life-mind continuity thesis. Phenomenology and the Cognitive Sciences, 8(4), 439-463.

Barandiaran, X., Rohde, M. and Di Paolo, E. A. (2009) Defining agency: Individuality, normativity, asymmetry and spatio-temporality in action. Adaptive Behavior, 17: 367-386, Special issue on Agency in Natural and Artificial Systems.

Egbert, M. and Di Paolo, E. A. (2009) Integrating behavior and autopoiesis: An exploration in computational chemo-ethology. Adaptive Behavior, 17: 387-401, Special issue on Agency in Natural and Artificial Systems.

Di Paolo, E. A. (2009) Extended life. Topoi 28:9-21.

Hu, X., and Di Paolo, E. A. (2009) An efficient genetic algorithm with uniform crossover for air traffic control. Computers and Operations Research, 36: 245 – 259.

Di Paolo, E. A. (2008) A mind of many. Constructivist Foundations, 3(2): 89 – 91.

Vickerstaff, R. and Di Paolo, E. A. (2008) Regarding compass response functions for modeling path integration. Adaptive Behavior 16(4):275-276.

Hu, X., Di Paolo, E. A. and S. F. Wu (2008) A comprehensive fuzzy-rule-based self-adaptive genetic algorithm. Journal of Intelligent Computing and Cybernetics, 1(1):94 – 109.

Hu, X., and Di Paolo, E. A. (2008) Binary representation based genetic algorithm for aircraft arrival sequencing and scheduling. IEEE Transactions on Intelligent Transportation Systems, 9, 301-310.

McDonald-Gibson, J., Dyke, J., Di Paolo, E. A., and Harvey, I. (2008) Environmental regulation can arise under minimal assumptions. Journal of Theoretical Biology, 251(4), 653 – 666.

Di Paolo, E. A., Rohde, M. and Iizuka, H. (2008). Sensitivity to social contingency or stability of interaction? Modelling the dynamics of perceptual crossing. New Ideas in Psychology , 26: 278 – 294, Special issue on Dynamics and Psychology.

Di Paolo, E. A., and Iizuka, H., (2008). How (not) to model autonomous behaviour. BioSystems 91: 409-423, Special issue on Modelling Autonomy.

De Jaegher, H., and Di Paolo, E. A. (2007) Participatory sense-making: An enactive approach to social cognition. Phenomenology and the Cognitive Sciences, 6(4), 485 – 507.

Barnett, L., Di Paolo, E. A., and Bullock, S. (2007) Spatially embedded random networks. Phys. Rev. E., 76, 056115.

Iizuka, H., and Di Paolo, E. A. (2007). Toward Spinozist robotics: Exploring the minimal dynamics of behavioural preference. Adaptive Behavior, 15, 359-376.

Hu, X-B., Chen, W-H., Di Paolo, E. A. (2007). Multiairport capacity management: genetic algorithm with receding horizon. IEEE Transactions on Intelligent Transportation Systems, 8(2), 254 – 263.

Silver, M. and Di Paolo, E. A. (2006). Spatial effects favour the evolution of niche construction. Theoretical Population Biology, 70(4), 387 – 400.

Macinnes, I., and Di Paolo, E. A., (2006). The advantages of evolving perceptual cues. Adaptive Behavior 14(2), 147 – 156.

Suzuki, M., Floreano, D. and Di Paolo, E. A., (2005). The contributions of active body movement to visual development in evolutionary robots. Neural Networks. 18(5/6) pp. 657-666.

Di Paolo, E. A., (2005). Autopoiesis, adaptivity, teleology, agency. Phenomenology and the Cognitive Sciences, 4(4): 429 – 452.

Vickerstaff, R. J., and Di Paolo, E. A., (2005). Evolving neural models of path integration. Journal of Experimental Biology, 208, pp. 3349 – 3366.

Harvey, I., Di Paolo, E. A., Tuci, E., Wood, R., Quinn, M., (2005).  Evolutionary robotics: A new scientific tool for studying cognition. Artificial Life, 11(1/2), pp. 79 – 98.

Rohlfshagen, P. and Di Paolo, E. A., (2004). The circular topology of rhythm in asynchronous random Boolean networks. BioSystems 73, pp 141-152.

Di Paolo, E. A. and Harvey, I., (2003). Decisions and noise: the scope of evolutionary synthesis and dynamical analysis. Adaptive Behavior, 11(4), pp. 284 – 288.

Di Paolo, E. A., (2003). Evolving spike-timing dependent plasticity for single-trial learning in robots. Philosophical Transactions of the Royal Society A. 361, pp. 2299 – 2319.

Di Paolo, E. A., (2002). Spike timing dependent plasticity for evolved robots. Adaptive Behavior 10 (3/4). pp 243-263.

Wheeler, M., Bullock, S., Di Paolo, E., Noble, J., Bedau, M., Husbands, P., Kirby, S. and Seth, A. (2002). The view from elsewhere: Perspectives on ALife modelling.. Artificial Life 8:2, 87 – 100.

Di Paolo, E. A., (2001). Rhythmic and non-rhythmic attractors in asynchronous random Boolean networks. BioSystems, 59(3), 185 – 195.

Di Paolo, E. A., (2000). Ecological symmetry breaking can favour the evolution of altruism in an action-response game. Journal of Theoretical Biology, 203, 135 – 152.

Di Paolo, E. A. (2000). Behavioral coordination, structural congruence and entrainment in a simulation of acoustically coupled agents. Adaptive Behavior 8:1. 25 – 46.

Di Paolo, E. A.. (1998). An investigation into the evolution of communication, Adaptive Behavior 6:2. 285 – 324.