Learning secrets interactively. Dynamic modeling in inductive inference

Inductive Inference and Language Learning

The present paper is a short reflection concerning the role which inductive inference played and can play in language learning. We shortly recall some major insights obtained and outline some new directions based on own work and results recently presented in the literature.

Inductive Inference

Interactively Modeling with Photogrammetry

We describe an interactive system to reconstruct 3D geometry and extract textures from a set of photographs taken with arbitrary camera parameters. The basic idea is to let the user draw 2D geometry on the images and set constraints using these drawings. Because the input comes directly from the user, he can more easily resolve most of the ambiguities and difficulties traditional computer visio...

“Statistical Learning, Inductive Bias, and Bayesian Inference in Language Acquisition”

Language acquisition is a problem of induction: the child learner is faced with a set of specific linguistic examples and must infer some abstract linguistic knowledge that allows the child to generalize beyond the observed data, i.e., to both understand and generate new examples. Many different generalizations are logically possible given any particular set of input data, yet different childre...

Subjectivity in Inductive Inference

This paper examines circumstances under which subjectivity enhances the effectiveness of inductive reasoning. We consider a game in which Fate chooses a data generating process and agents are characterized by inference rules that may be purely objective (or data-based) or may incorporate subjective considerations. The basic intuition is that agents who invoke no subjective considerations are do...