Mathematical models of social learning aim to model opinion dynamics in social networks. Consider a social network in which people (agents) hold a belief...

of developing a mathematical model is termed mathematical modeling. Mathematical models are used in applied mathematics and in the natural sciences (such...

several mathematical models of social learning which try to model this phenomenon using probabilistic tools. Mimetic theory Bandura, Albert (1963). Social learning...

model (LLM) is a type of machine learning model designed for natural language processing tasks such as language generation. LLMs are language models with...

learning Mirroring (psychology) Social learning theory Social learning tools Mathematical models of social learning Shettleworth, S. J. "Cognition, Evolution...

modern machine learning technologies as well, including logician Walter Pitts and Warren McCulloch, who proposed the early mathematical models of neural networks...

Mathematical psychology is an approach to psychological research that is based on mathematical modeling of perceptual, thought, cognitive and motor processes...

range of use cases. Generative AI applications like large language models (LLM) are common examples of foundation models. Building foundation models is often...

referred as "base models", "base learners", or "weak learners" in literature. These base models can be constructed using a single modelling algorithm, or...

Multimodal learning is a type of deep learning that integrates and processes multiple types of data, referred to as modalities, such as text, audio, images...

Lev Vygotsky (1896–1934), emphasized the importance of sociocultural learning in his theory of social constructivism, highlighting how interactions with...

Language Model Meta AI), a large language model ranging from 7B to 65B parameters. On April 5, 2025, Meta released two of the three Llama 4 models, Scout...

economics, a random utility model (RUM), also called stochastic utility model, is a mathematical description of the preferences of a person, whose choices...

reward model to represent preferences, which can then be used to train other models through reinforcement learning. In classical reinforcement learning, an...

trained models to detect handwriting so that financial companies could automate check processing. The mathematical foundation for predictive learning dates...

suggested that the mind constructs "small-scale models" of reality that it uses to anticipate events. Mental models can help shape behaviour, including approaches...

One recent branch of work exploring social constructivist perspectives on learning focuses on the role of social technologies and social media in facilitating...

ability of the network. Deep models (CAP > two) are able to extract better features than shallow models and hence, extra layers help in learning the features...

(2012), "Inventory models for imperfect quality items with shortages and learning in inspection", Applied Mathematical Modelling, 36 (11): 5334–5343...

machine learning methods, models, and theory for large-scale learning tasks driven by applications from climate forecasting, healthcare, and the social good...

degree of anxiety at subscale. MEA (Mathematical Evaluation Anxiety) compared with LMA (Learning Mathematical Anxiety). Another difference in mathematic abilities...

Models of communication simplify or represent the process of communication. Most communication models try to describe both verbal and non-verbal communication...

individual-based models, agent-based models, and multiagent systems shows that ABMs are used in many scientific domains including biology, ecology and social science...

In machine learning, a neural network (also artificial neural network or neural net, abbreviated ANN or NN) is a computational model inspired by the structure...

(mathematics) List of mathematical jargon Lists of mathematicians Lists of mathematics topics Mathematical constant Mathematical sciences Mathematics and art Mathematics...

some of the most famous ancient works on mathematics came from Egypt in the form of the Rhind Mathematical Papyrus and the Moscow Mathematical Papyrus...

statistics and machine learning is the phenomenon where a model with a small number of parameters and a model with an extremely large number of parameters both...

Mathematical economics is the application of mathematical methods to represent theories and analyze problems in economics. Often, these applied methods...

implementation for the models. Also related is quantitative investing, which relies on statistical and numerical models (and lately machine learning) as opposed...

models in linear models has been an important tool to understand how adversarial attacks affect machine learning models. The analysis of these models...