AI Chat AI Image Generator AI Video Text to Speech

Algorithmic Simplicity and Relevance

08/09/2012

∙

by Jean-Louis Dessalles, et al.

∙

∙

The human mind is known to be sensitive to complexity. For instance, the visual system reconstructs hidden parts of objects following a principle of maximum simplicity. We suggest here that higher cognitive processes, such as the selection of relevant situations, are sensitive to variations of complexity. Situations are relevant to human beings when they appear simpler to describe than to generate. This definition offers a predictive (i.e. falsifiable) model for the selection of situations worth reporting (interestingness) and for what individuals consider an appropriate move in conversation.

page 1

page 2

page 3

page 4

research

∙ 12/22/2016

Role of Simplicity in Creative Behaviour: The Case of the Poietic Generator

We propose to apply Simplicity Theory (ST) to model interest in creative...

0 Antoine Saillenfest, et al. ∙

research

∙ 12/04/2020

Information Complexity Criterion for Model Selection in Robust Regression Using A New Robust Penalty Term

Model selection is basically a process of finding the best model from th...

0 Esra Pamukçu, et al. ∙

research

∙ 04/11/2020

Grounding Occam's Razor in a Formal Theory of Simplicity

It is proposed that the Occam's Razor heuristic – when in doubt, choose ...

10 Ben Goertzel, et al. ∙

research

∙ 01/21/2021

Content Selection Network for Document-grounded Retrieval-based Chatbots

Grounding human-machine conversation in a document is an effective way t...

0 Yutao Zhu, et al. ∙

research

∙ 02/27/2007

The Loss Rank Principle for Model Selection

We introduce a new principle for model selection in regression and class...

0 Marcus Hutter, et al. ∙

research

∙ 02/06/2023

Toward a normative theory of (self-)management by goal-setting

People are often confronted with problems whose complexity exceeds their...

0 Nishad Singhi, et al. ∙

research

∙ 02/05/2015

A Confident Information First Principle for Parametric Reduction and Model Selection of Boltzmann Machines

Typical dimensionality reduction (DR) methods are often data-oriented, f...

0 Xiaozhao Zhao, et al. ∙