paper-with-me

홈 › Papers

How a Generation Was Misled About Natural Selection

2015-01-19

This article explains how natural selection works and how it has been inappropriately applied to the description of cultural change. It proposes an alternative evolutionary explanation for cultural evolution that describes it in terms of communal exchange.

📄 PDF Abstract BibTeX arXiv:1501.04391

Code (0)

등록된 구현이 없습니다.

Similar Papers 제목 키워드 기반

Truth-Aware Context Selection: Mitigating Hallucinations of Large Language Models Being Misled by Untruthful Contexts

2024-03-12 · Tian Yu, Shaolei Zhang, Yang Feng

Although Large Language Models (LLMs) have demonstrated impressive text generation capabilities, they are easily misled by untruthful contexts provided by users or knowledge augmentation tools, leading to hallucinations.…

Text Generation

Artificial Life in Game Mods for Intuitive Evolution Education

2020-07-07 · Anya E. Vostinar, Barbara Z. Johnson, Kevin Connors

The understanding and acceptance of evolution by natural selection has become a difficult issue in many parts of the world, particularly the United States of America. The use of games to improve intuition about evolution…

Artificial Life

Transparency in Language Generation: Levels of Automation

2020-06-11 · Justin Edwards, Allison Perrone, Philip R. Doyle

Language models and conversational systems are growing increasingly advanced, creating outputs that may be mistaken for humans. Consumers may thus be misled by advertising, media reports, or vagueness regarding the role …

Text Generation

Social learning under inferential attacks

2020-10-26 · Konstantinos Ntemos, Virginia Bordignon, Stefan Vlaski, Ali H. Sayed

A common assumption in the social learning literature is that agents exchange information in an unselfish manner. In this work, we consider the scenario where a subset of agents aims at driving the network beliefs to the…

Unsupervised Shape Normality Metric for Severity Quantification

2020-07-18 · Wenzheng Tao, Riddhish Bhalodia, Erin Anstadt, Ladislav Kavan 외

This work describes an unsupervised method to objectively quantify the abnormality of general anatomical shapes. The severity of an anatomical deformity often serves as a determinant in the clinical management of patient…

Management