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A flow-based generative model is a generative model used in machine learning that explicitly models a probability distribution by leveraging normalizing flow, [1] [2] [3] which is a statistical method using the change-of-variable law of probabilities to transform a simple distribution into a complex one.
The multi-step flow theory assumes ideas flow from mass media to opinion leaders before being disseminated to a wider population. This theory was first introduced by sociologist Paul Lazarsfeld et al. in 1944 and elaborated by Elihu Katz and Lazarsfeld in 1955.
Computational sociology is a branch of sociology that uses computationally intensive methods to analyze and model social phenomena. Using computer simulations, artificial intelligence, complex statistical methods, and analytic approaches like social network analysis, computational sociology develops and tests theories of complex social processes through bottom-up modeling of social interactions.
Regardless of precise definition, the terminology is constitutional because a generative model can be used to "generate" random instances , either of an observation and target (,), or of an observation x given a target value y, [2] while a discriminative model or discriminative classifier (without a model) can be used to "discriminate" the ...
Thus, a non-Turing model of computation is used. This theory allows simple formal definition of collective intelligence as the property of social structure and seems to be working well for a wide spectrum of beings, from bacterial colonies up to human social structures. Collective intelligence considered as a specific computational process is ...
Collective memory has been conceptualized in several ways and proposed to have certain attributes. For instance, collective memory can refer to a shared body of knowledge (e.g., memory of a nation's past leaders or presidents); [6] [7] [8] the image, narrative, values and ideas of a social group; or the continuous process by which collective memories of events change.
Cultural memory is a form of collective memory shared by a group of people who share a culture. [1] The theory posits that memory is not just an individual, private experience but also part of the collective domain, which both shapes the future and our understanding of the past.
Generative science is an area of research that explores the natural world and its complex behaviours. It explores ways "to generate apparently unanticipated and infinite behaviour based on deterministic and finite rules and parameters reproducing or resembling the behavior of natural and social phenomena". [ 1 ]