How do essentialist beliefs about categories arise? We hypothesize that such beliefs are transmitted via language. We subject large language models (LLMs) to vignettes from the literature on essentialist categorization and find that they align well with people when the studies manipulated teleological information -- information about what something is for. We examine whether in a classic test of essentialist categorization -- the transformation task -- LLMs prioritize teleological properties over information about what something looks like, or is made of. (...) Experiments 1 and 2 find that telos and what something is made of matter more than appearance. Experiment 3 manipulates all three factors and finds that what something is for matters more than what it's made of. Overall, these studies suggest that language alone may be sufficient to give rise to essentialist beliefs, and that information about what something is for matters more. (shrink)

Generic statements, such as "Bees are striped" are thought to be a central vehicle by which essentialist beliefs are transmitted. But work on generics and essentialism almost never focuses on the type of properties mentioned in generic statements. We test the hypothesis that teleological properties, what something is for, affect categorization judgments more strongly than behavioral, biological, or social properties. In Experiment 1, participants categorized properties as being either behavioral, biological, social, or teleological. In Experiment 2, we used the top (...) four properties from each group to describe a generic noun or a specific individual. Participants then categorized creatures that had one of their properties transformed. We found that changes to teleological properties had the strongest impact on categorization judgments. In Experiment 3, we also found that teleological properties mattered more in an induction task. We suggest that teleological properties play this privileged role in categorization because they are treated as essential properties. (shrink)

The scope of Platonism is extended by introducing the concept of a “Platonic computer” which is incorporated in metacomputics. The theoretical framework of metacomputics postulates that a Platonic computer exists in the realm of Forms and is made by, of, with, and from metaconsciousness. Metaconsciousness is defined as the “power to conceive, to perceive, and to be self-aware” and is the formless, con-tentless infinite potentiality. Metacomputics models how metaconsciousness generates the perceived actualities including abstract entities and physical and nonphysical realities. (...) It is postulated that this is achieved via digital computation using the Platonic computer. The introduction of a Platonic computer into the realm of Forms thus bridges the “inverse explanatory gap” and therefore solves the “inverse hard problem of consciousness” in the philosophy of mind. (shrink)

People attribute purposes in both mundane and profound ways—such as when thinking about the purpose of a knife and the purpose of a life. In three studies (total N = 13,720 observations from N = 3,430 participants), we tested whether these seemingly very different forms of purpose attributions might actually involve the same cognitive processes. We examined the impacts of four factors on purpose attributions in six domains (artifacts, social institutions, animals, body parts, sacred objects, and human lives). Study 1 (...) manipulated what items in each domain were originally created for (original design) and how people currently use them (present practice). Study 2 manipulated whether items are good at achieving a goal (effectiveness) and whether the goal itself is good (morality). We found effects of each factor in every domain. However, whereas morality and effectiveness had remarkably similar effects across domains, the effects of original design and present practice differed substantially. Finally, Study 3 revealed that, within domains, the effects of original design and present practice depend on which entities design and use items. These results reveal striking similarities in purpose attributions across domains and suggest that certain entities are treated as authorities over the purposes of particular items. (shrink)

Considerable evidence proves that causal learning and causal understanding greatly enhance our ability to manipulate the physical world and are major factors that distinguish humans from other primates. How do we enable unintelligent robots to think causally, answer the questions raised with "why" and even understand the meaning of such questions? The solution is one of the keys to realizing artificial intelligence. Judea Pearl believes that to achieve human-like intelligence, researchers must start by imitating the intelligence of children, so he (...) proposed a "causal inference engine" to help future artificial intelligence make causal inference, pass the Minimal Turing Test, and even become a moral subject who can discern good from evil. This study attempts to provide some insights into the development of children's education from basic assumptions and construction goals of artificial intelligence, and to reflect on the causal model of artificial intelligence through children's education. (shrink)

In the 16th century, western science made a great leap. Meanwhile, in China, the development of textual criticism (including scholars Gu Yanwu 1613-1682, Dai Zhen 1724-1777, Duan Yucai 1735-1815, Wang Niansun 1744-1832) also facilitated the development of scientific factors (Hu Shi 1967).This paper argues that Qian-Jia scholars爷work represented a new era of traditional research that the value of scholarships and intellectual work (starting from Gu Yanwu 1613-1682, Dai Zhen 1724-1777, Duan Yucai 1735-1815, Wang Niansun 1744-1832, etc.) is essentially (...) based on what they created and believed, overtly or overtly, the principle of logic certainty—a newly developed indigenous rationalism in the Chinese intellectual history. (shrink)