Journal papers

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.

Kyselo, M. and Di Paolo, E. A. (2014). Locked-in syndrome: A challenge for embodied cognitive science. Phenom. Cogn. Sci., doi: 10.1007/s11097-013-9344-9.

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.