Abstract
Mental representation (MR) is regarded as part of sophisticated cognitive processes. It has been argued that under selection pressure for second-order learning (learning how to learn), first-order learning evolves to facilitate second-order learning within lifetime by capturing inherent structures of changing environment as MR. Two hypotheses derive from this theory: (1) solving MR-dependent tasks should involve second-order plasticity at the neural level. (2) Solving MR-dependent tasks should involve internalization of structural features of environment into corresponding features of the cognitive system. In this paper, constructive approach was taken and the result was analyzed from the viewpoint of these two hypotheses. Executive functions, a collection of cognitive processes necessary for good performance on complex tasks, are the theme of our model. They are considered to be related to theory of mind, which is a typical example of MR. We conducted an evolutionary simulation where agents with recurrent neural networks tackled the Wisconsin card sorting test (WCST), a widely used task to measure abilities of executive functions. The results showed some agents were successfully able to achieve ideal scores in the WCST, hence the emergence of executive functions. In addition, we also discussed the hypotheses based on one of the evolved neural networks.
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Arnold SF, Suzuki R, Arita T (2015) Selection for representation in higher-order adaptation. Minds Mach 25(1):73–95
Arnold SF, Suzuki R, Arita T (2012) Second order learning and the evolution of mental representation. In: Proceedings of artificial life XIII, pp 301–308
Arnold SF, Suzuki R, Arita T (2014), Using second order learning to evolve social representation (theory of mind). In: Proceedings of the 8th international conference on bioinspired information and communications technologies, pp 95-102
Diamond A (2013) Executive functions. Ann Rev Psychol 64:135–168
Singh P, Samantaray NN, Jahan M (2016) Theory of mind and executive functioning in alcohol dependence syndrome. Int J Indian Psychol 3(2):117–124
Berg EA (1948) A simple objective technique for measuring flexibility in thinking. J Gen Psychol 39(1):15–22
Arnold SF, Suzuki R, Arita T (2014). Using second order learning to evolve social representation (Theory of mind). In: Proceedings of the 8th international conference on bioinspired information and communications technologies
Berdia S, Metz JT (1998) An artificial neural network stimulating performance of normal subjects and schizophrenics on the Wisconsin card sorting test. Artif Intell Med 13(1):123–138
Kaplan GB, engr NS, Grvit H, Gen I, Gzeli C (2006). A composite neural network model for perseveration and distractibility in the Wisconsin card sorting test. Neural Netw 19(4):375–387
Acknowledgements
This work was supported by MEXT Grant-in-Aid for Scientific Research on Innovative Areas #4903 (Co-creative Language Evolution), Grant Number JP17H06383, and MEXT Grant-in-Aid for Scientific Research(C), Grant Number JP15K00304.
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Daimon, K., Arnold, S., Suzuki, R. et al. The emergence of executive functions by the evolution of second-order learning. Artif Life Robotics 22, 483–489 (2017). https://doi.org/10.1007/s10015-017-0389-7
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DOI: https://doi.org/10.1007/s10015-017-0389-7