High Performance Computing of Possible Minds

High Performance Computing of Possible Minds

Soenke Ziesche (Maldives National University, Male', Maldives) and Roman V. Yampolskiy (University of Louisville, Louisville, KY, USA)
Copyright: © 2017 |Pages: 11
DOI: 10.4018/IJGHPC.2017010104
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Abstract

It has been shown that the space of possible minds is vast, actually infinite. Intellectology is a new field of study, which examines in more detail features of possible minds. Among the many open and unexplored questions in this field is the following: “Which activities can minds perform during their lifetime?” This question is very broad, thus our contribution here addresses the sub-question “Which non-boring activities can minds perform?” This issue is ethically relevant for human minds if the predicted significant extension of our lifetime materializes and we are then potentially challenged how to spend this additional time. The space of potential non-boring activities has been called “fun space.” We analyze the relation between various types of minds and the portion of the fun space, which is accessible for them. As a novel result, we demonstrate that human minds can experience two types of fun when transforming information to knowledge: novelty fun and process fun.
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First, we present related work to the space of minds. When we reason about minds we tend to think of human minds only. This is because of the anthropomorphic bias. However, in addition, there are other minds, which we encounter on earth, the minds of higher order animals, and then there are various minds, which we can imagine as possibility and perhaps even more beyond our imagination (“unknown unknowns”). Several theoretical surveys on this topic exist and it has been shown that the space of possible minds is vast (e.g. Sloman, 1984; Goertzel, 2006; Hall, 2007; Yudkowsky, 2008; Yampolskiy, 2015).

Examples for potential minds could be human-designed AI minds, self-improving minds, a combination of minds constituting itself a mind and many more. There have been several attempts to classify the space of minds (Yampolskiy, 2015). In fact, the space of human minds forms only a tiny subset within the universe of possible minds (Yudkowsky, 2008). The space of possible minds can be considered as the set of possible cognitive algorithms. Based on this and on the limited number of cognitive algorithms, which human minds can potentially perform, it can be concluded that the majority of possible minds is more intelligent than human minds. Yampolskiy and Fox describe this insight as another example of a Copernican Revolution, i.e. a revision of the view that humanity is central, which in this case refers to minds (Yampolskiy & Fox, 2012).

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