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26. Maffei, G., Santos-Pata, D., Marcos, E., S´ anchez-Fibla, M., Verschure, P.F.: An
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29. Moulin-Frier, C., et al.: DAC-h3: a proactive robot cognitive architecture to acquire
and express knowledge about the world and the self. IEEE Trans. Cogn. Dev. Syst.
10(4), 1005–1022 (2017)
30. Perolat, J., Leibo, J.Z., Zambaldi, V., Beattie, C., Tuyls, K., Graepel, T.: A multiagent reinforcement learning model of common-pool resource appropriation. In:
Advances in Neural Information Processing Systems, pp. 3643–3652 (2017)
31. Peysakhovich, A., Lerer, A.: Consequentialist conditional cooperation in social
dilemmas with imperfect information. arXiv preprint arXiv:1710.06975 (2017)
I. T. Freire et al.
13. Curry, O.S., Mullins, D.A., Whitehouse, H.: Is it good to cooperate. Curr. Anthropol. 60(1), 47–69 (2019)
14. Dayan, P.: How to set the switches on this thing. Curr. Opin. Neurobiol. 22(6),
1068–1074 (2012)
15. Floreano, D., Keller, L.: Evolution of adaptive behaviour in robots by means of
Darwinian selection. PLoS Biol. 8(1), e1000292 (2010)
16. Freire, I.T., Arsiwalla, X.D., Puigb` o, J.Y., Verschure, P.: Modeling theory of
mind in multi-agent games using adaptive feedback control. arXiv preprint
arXiv:1905.13225 (2019)
17. Freire, I.T., Moulin-Frier, C., Sanchez-Fibla, M., Arsiwalla, X.D., Verschure, P.F.:
Modeling the formation of social conventions from embodied real-time interactions.
PLoS ONE 15(6), e0234434 (2020)
18. Freire, I.T., Puigb` o, J.Y., Arsiwalla, X.D., Verschure, P.F.: Limits of multi-agent
predictive models in the formation of social conventions. Artif. Intell. Res. Dev.:
Curr. Chall. New Trends Appl. 308, 297 (2018)
19. Freire, I.T., Puigb` o, J.-Y., Arsiwalla, X.D., Verschure, P.F.M.J.: Modeling the
opponent’s action using control-based reinforcement learning. In: Vouloutsi, V.,
Halloy, J., Mura, A., Mangan, M., Lepora, N., Prescott, T.J., Verschure, P.F.M.J.
(eds.) Living Machines 2018. LNCS (LNAI), vol. 10928, pp. 179–186. Springer,
Cham (2018). https://doi.org/10.1007/978-3-319-95972-6 19
20. Greene, J.D.: The cognitive neuroscience of moral judgment. Cogn. Neurosci. 4,
1–48 (2009)
21. Greene, J.D., Nystrom, L.E., Engell, A.D., Darley, J.M., Cohen, J.D.: The neural
bases of cognitive conflict and control in moral judgment. Neuron 44(2), 389–400
(2004)
22. Greene, J.: Solving the trolley problem. A companion to experimental philosophy,
pp. 175–178 (2016)
23. Huys, Q.J., Eshel, N., O’Nions, E., Sheridan, L., Dayan, P., Roiser, J.P.: Bonsai trees in your head: how the pavlovian system sculpts goal-directed choices by
pruning decision trees. PLoS Comput. Biol. 8(3), e1002410 (2012)
24. Kant, I.: Groundwork of the metaphysic of morals. Trans. HJ Paton. 3rd edn.
Harper Torchbooks, New York (1785)
25. Lieberman, M.D.: Social cognitive neuroscience: a review of core processes. Annu.
Rev. Psychol. 58(1), 259–289 (2007). https://doi.org/10.1146/annurev.psych.58.
110405.085654
26. Maffei, G., Santos-Pata, D., Marcos, E., S´ anchez-Fibla, M., Verschure, P.F.: An
embodied biologically constrained model of foraging: from classical and operant
conditioning to adaptive real-world behavior in DAC-X. Neural Netw. 72, 88–108
(2015). https://doi.org/10.1016/j.neunet.2015.10.004
27. Mill, J.S.: Utilitarianism. Longmans, Green and Company (1895)
28. Moulin-Frier, C., Arsiwalla, X.D., Puigb` o, J.Y., Sanchez-Fibla, M., Duff, A., Verschure, P.F.: Top-down and bottom-up interactions between low-level reactive control and symbolic rule learning in embodied agents. In: CoCo@ NIPS (2016)
29. Moulin-Frier, C., et al.: DAC-h3: a proactive robot cognitive architecture to acquire
and express knowledge about the world and the self. IEEE Trans. Cogn. Dev. Syst.
10(4), 1005–1022 (2017)
30. Perolat, J., Leibo, J.Z., Zambaldi, V., Beattie, C., Tuyls, K., Graepel, T.: A multiagent reinforcement learning model of common-pool resource appropriation. In:
Advances in Neural Information Processing Systems, pp. 3643–3652 (2017)
31. Peysakhovich, A., Lerer, A.: Consequentialist conditional cooperation in social
dilemmas with imperfect information. arXiv preprint arXiv:1710.06975 (2017)