Problem: Roman beliefs about an afterlife varied, and are known mostly for the educated elite who expressed their views in terms of their chosen philosophy. The traditional care of the dead, however, and the perpetuation after death of their status in life were part of the most archaic practices of Roman religion. Ancient votive deposits to the noble dead of Latium and Rome suggest elaborate and costly funeral offerings and banquets in the company of the deceased, an expectation of afterlife and their association with the gods. As Roman society developed, its Republican nobility tended to invest less in spectacular funerals and extravagant housing for their dead, and more on monumental endowments to the community, such as the donation of a temple or public building whose donor was commemorated by his statue and inscribed name. Persons of low or negligible status might receive simple burial, with such grave goods as relatives could afford.
What type of practices were those affecting the care of the dead?
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Answer: archaic


Problem: In the 6th century BCE, Taoist teacher Lao Tzu espoused a series of naturalistic concepts with some elements of humanistic philosophy. The Silver Rule of Confucianism from Analects XV.24, is an example of ethical philosophy based on human values rather than the supernatural. Humanistic thought is also contained in other Confucian classics, e.g., as recorded in Zuo Zhuan, Ji Liang says, "People is the zhu (master, lord, dominance, owner or origin) of gods. So, to sage kings, people first, gods second"; Neishi Guo says, "Gods, clever, righteous and wholehearted, comply with human." Taoist and Confucian secularism contain elements of moral thought devoid of religious authority or deism however they only partly resembled our modern concept of secularism.
Who can be credited with saying essentially humans are the gods of gods?
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Answer: Ji Liang


Problem: There is a close connection between machine learning and compression: a system that predicts the posterior probabilities of a sequence given its entire history can be used for optimal data compression (by using arithmetic coding on the output distribution) while an optimal compressor can be used for prediction (by finding the symbol that compresses best, given the previous history). This equivalence has been used as a justification for using data compression as a benchmark for "general intelligence."
What has been used as a benchmark for "general intelligence"?
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Answer:
data compression