Abstract The deaths of those on whom our practical identities rely generate a sense disorientation or alienation from the world seemingly at odds with life being meaningful. In terms put forth in Cheshire Calhoun's recent account meaningfulness life, because their existence serves as metaphysical presupposition identities, threaten to upend background frame agency against which much choice and ...

Interactive mathematics over the Internet is particularly appealing in that it can take advantage of the wealth of resources available online. Among the prerequisites to cooperation among systems for computer mathematics is the meaningfulness of the objects that are exchanged. Strong OpenMath is a sublanguage of OpenMath for which meaningfullness of the objects is exactly de ned. The paper addr...

In this paper, we propose a bottom-up approach to generating short descriptive sentences from images, to enhance scene understanding. We demonstrate automatic methods for mapping the visual content in an image to natural spoken or written language. We also introduce a human-in-the-loop evaluation strategy that quantitatively captures the meaningfulness of the generated sentences. We recorded a ...

Abstract This research seeks to improve our understanding of how intrinsic motivation is instantiated. Three theories, flow theory, self-determination and empowerment have informed the foundations at work. Taken jointly, they suggest six causal factors for motivation: (1) perceived competence, (2) challenge, (3) autonomy, (4) impact, (5) social relatedness, (6) meaningfulness. Integrating diffe...

Incomplete databases often require conservation scientists to estimate data either through expert judgment or other scoring, rating, and ranking procedures. At the same time, ecosystem complexity has led to the use of increasingly sophisticated algorithms and mathematical models to aid in conservation theorizing, planning, and decision making. Understanding the limitations imposed by the scales...

A set of images can be considered as meaningfully different for an observer if they can be distinguished phenomenally from one another. Each phenomenal difference must be supported by some neurophysiological differences. Differentiation analysis aims to quantify neurophysiological differentiation evoked by a given set of stimuli to assess its meaningfulness to the individual observer. As a proo...

In this paper, we exploit the analogy between protein sequence alignment and image pair correspondence to design a bioinformatics-inspired framework for stereo matching based on dynamic programming. This approach also led to the creation of a meaningfulness graph, which helps to predict matching validity according to image overlap and pixel similarity. Finally, we propose an automatic procedure...