A maximum entropy model for opinions in social groups

A maximum entropy model for opinions in social groups

Abstract We study how the opinions of a group of individuals determine their spatial distribution and connectivity, through an agent-based model. The interaction between agents is described by a Hamiltonian in which agents are allowed to move freely without an underlying lattice (the average network topology connecting them is determined from the parameters). This kind of model was derived usin...

Maximum entropy aggregation of individual opinions

Abstruct-This paper presents several formulations for aggregating opinions about the outcome of a future event+.g., opinions in the form of probabilities are aggregated into a single probability. The approach used to derive these aggregation formulas is maximum entropy inference, with the assumption that the opinions and the event being predicted are joint random variables. As part of the prese...

A maximum entropy model for parsing

Maximum Entropy Model for Punctuat

In this paper we develop a maximum-entropy based method for annotating spontaneous conversational speech with punctuation. The goal of this task is to make automatic transcriptions more readable by humans, and to render them into a form that is useful for subsequent natural language processing and discourse analysis. Our basic approach is to view the insertion of punctuation as a form of taggin...

A Maximum Entropy Typological Model

Introduction. One of the most contested debates in phonology concerns identifying factors that affect typology. The Analytic Bias approach (AB) claims that biases in learning affect the typology, while the Channel Bias approach (CB) assumes phonetic precursors and transmission of language affect the typology (Moreton 2008). Empirical evidence in favor of both hypotheses exists: processes that a...