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Judgment

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A Computational Intelligence Model for Legal Prediction and Decision Support.

Computational intelligence and neuroscience
Legal judgment prediction (LJP) and decision support aim to enable machines to predict the verdict of legal cases after reading the description of facts, which is an application of artificial intelligence in the legal field. This paper proposes a leg...

3D Animation Automatic Generation System Design Based on Deep Learning.

Computational intelligence and neuroscience
In the field of 3D animation design and generation, the expression generation method of animation is not obvious due to the lack of image details, which leads to the lack of realism of the generated animation expressions. In order to solve this probl...

A Grey BP Neural Network-Based Model for Prediction of Court Decision Service Rate.

Computational intelligence and neuroscience
The judgment service rate is an important index to reflect the fairness of the judgment of legal cases in a certain area, which is of great significance to verify the accuracy of a court judgment. In this paper, a grey neural network model combining ...

Untangling the Animacy Organization of Occipitotemporal Cortex.

The Journal of neuroscience : the official journal of the Society for Neuroscience
Some of the most impressive functional specializations in the human brain are found in the occipitotemporal cortex (OTC), where several areas exhibit selectivity for a small number of visual categories, such as faces and bodies, and spatially cluster...

Explaining distortions in metacognition with an attractor network model of decision uncertainty.

PLoS computational biology
Metacognition is the ability to reflect on, and evaluate, our cognition and behaviour. Distortions in metacognition are common in mental health disorders, though the neural underpinnings of such dysfunction are unknown. One reason for this is that mo...

How Could We Know When a Robot was a Moral Patient?

Cambridge quarterly of healthcare ethics : CQ : the international journal of healthcare ethics committees
There is growing interest in machine ethics in the question of whether and under what circumstances an artificial intelligence would deserve moral consideration. This paper explores a particular type of moral status that the author terms psychologica...

A deep-learning framework for human perception of abstract art composition.

Journal of vision
Artistic composition (the structural organization of pictorial elements) is often characterized by some basic rules and heuristics, but art history does not offer quantitative tools for segmenting individual elements, measuring their interactions and...

Naïve Definitions of Action and Inaction: A Study of Free Associations Using Natural Language Processing and Top-Down Coding.

Psicothema
BACKGROUND: Even though the terms "action" and "inaction" have been used to describe objects of attitudes, behaviors, and goals, the meaning of action and inaction for lay people has not been investigated.

Can an android's posture and movement discriminate against the ambiguous emotion perceived from its facial expressions?

PloS one
Expressing emotions through various modalities is a crucial function not only for humans but also for robots. The mapping method from facial expressions to the basic emotions is widely used in research on robot emotional expressions. This method clai...

Image memorability is predicted by discriminability and similarity in different stages of a convolutional neural network.

Learning & memory (Cold Spring Harbor, N.Y.)
The features of an image can be represented at multiple levels-from its low-level visual properties to high-level meaning. What drives some images to be memorable while others are forgettable? We address this question across two behavioral experiment...