Abstract
In this article, we summarize our research results on the topic of spontaneous emergence of intelligence. Many agents are sent to an artificial world, which is arbitrarily parametrizable. The agents initially know nothing about the world. Their only ability is the remembrance, that is, the use of experience which comes from the events that happened to them in the course of their operation. With this individual knowledge base they attempt to survive in this world, and getting better and better knowledge for further challenges: a completely random wandering in the world; wandering in possession of growing personal knowledge; wandering, where evolutionary entities exchange experiences when they accidentally meet in a particular part of the world. The results are not surprising, but very convincing: without learning, the chances of survival are the worst in a world with a given parametrization. When experiences are organized into a knowledge base through individual learning, the chances of survival are obviously better than in the case of a completely random walk. And finally when creatures have the opportunity to exchange experiences when they meet in a certain field, they have the greatest chance of surviving.
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The research has been supported by the European Union, co-financed by the European Social Fund (EFOP-3.6.2-16-2017-00013, Thematic Fundamental Research Collaborations Grounding Innovation in Informatics and Infocommunications).
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Elek, I., Blazsik, Z., Heger, T., Lenger, D., Sindely, D. (2021). Communicating Digital Evolutionary Machines. In: Arai, K. (eds) Intelligent Computing. Lecture Notes in Networks and Systems, vol 284. Springer, Cham. https://doi.org/10.1007/978-3-030-80126-7_69
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DOI: https://doi.org/10.1007/978-3-030-80126-7_69
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