Memory Image Completion: Establishing a task to behaviorally assess pattern completion in humans

Agent-Based Task Completion

This paper presents a model for solving a resource allocation problem (the ‘Screaming Generals’ problem) in which autonomous agents negotiate for use of the resources. The Screaming Generals problem is a test-bed for our ideas about task completion in a multi-agent environment with hard deadlines. Rather than analyze some specific negotiation scheme, we present a model that accepts the results ...

A Scale Consistent Approach to Image Completion∗

Most patch based algorithms for completing missing parts of images fill in the absent regions by copying patches from the known part of the image into the unknown part, somewhat like plastic surgery. The criterion for deciding which patch to copy is compatibility of the copied patch with the vicinity of the region being completed. In this paper we propose introducing a new dimension to this com...

Autonomous Environment Manipulation to Facilitate Task Completion

Grammaticality Judgement in a Word Completion Task

In this paper, we present findings from a human judgement task we conducted on the effectiveness of syntax filtering in a word completion task. Human participants were asked to review a series of incomplete sentences and identify which words from accompanying lists extend the expressions in a grammatically appropriate way. The accompanying word lists were generated by two word completion system...

Transforming Image Completion

Image completion is an important photo-editing task which involves synthetically filling a hole in the image such that the image still appears natural. State-of-the-art image completion methods work by searching for patches in the image that fit well in the hole region. Our key insight is that image patches remain natural under a variety of transformations (such as scale, rotation and brightnes...