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相关论文: Three Modern Roles for Logic in AI

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Recent progress in machine learning techniques have revived interest in building artificial general intelligence using these particular tools. There has been a tremendous success in applying them for narrow intellectual tasks such as…

人工智能 · 计算机科学 2019-05-24 Cristian Ivan , Bipin Indurkhya

Principles of analogical reasoning have recently been applied in the context of machine learning, for example to develop new methods for classification and preference learning. In this paper, we argue that, while analogical reasoning is…

机器学习 · 计算机科学 2020-05-27 Eyke Hüllermeier

Inner Interpretability is a promising emerging field tasked with uncovering the inner mechanisms of AI systems, though how to develop these mechanistic theories is still much debated. Moreover, recent critiques raise issues that question…

人工智能 · 计算机科学 2024-08-01 Martina G. Vilas , Federico Adolfi , David Poeppel , Gemma Roig

The ability to conduct logical reasoning is a fundamental aspect of intelligent human behavior, and thus an important problem along the way to human-level artificial intelligence. Traditionally, logic-based symbolic methods from the field…

人工智能 · 计算机科学 2021-01-11 Patrick Hohenecker , Thomas Lukasiewicz

Language is crucial for human intelligence, but what exactly is its role? We take language to be a part of a system for understanding and communicating about situations. The human ability to understand and communicate about situations…

计算与语言 · 计算机科学 2020-07-07 James L. McClelland , Felix Hill , Maja Rudolph , Jason Baldridge , Hinrich Schütze

Reasoning, a crucial ability for complex problem-solving, plays a pivotal role in various real-world settings such as negotiation, medical diagnosis, and criminal investigation. It serves as a fundamental methodology in the field of…

Mechanistic interpretability is the program of explaining what AI systems are doing in terms of their internal mechanisms. I analyze some aspects of the program, along with setting out some concrete challenges and assessing progress to…

人工智能 · 计算机科学 2025-01-28 David J. Chalmers

The tension between deduction and induction is perhaps the most fundamental issue in areas such as philosophy, cognition and artificial intelligence (AI). The deduction camp concerns itself with questions about the expressiveness of formal…

人工智能 · 计算机科学 2020-06-16 Vaishak Belle

Human perception, memory and decision-making are impacted by tens of cognitive biases and heuristics that influence our actions and decisions. Despite the pervasiveness of such biases, they are generally not leveraged by today's Artificial…

人机交互 · 计算机科学 2023-12-04 Aditya Gulati , Miguel Angel Lozano , Bruno Lepri , Nuria Oliver

With the emergence of advanced reasoning models like OpenAI o3 and DeepSeek-R1, large language models (LLMs) have demonstrated remarkable reasoning capabilities. However, their ability to perform rigorous logical reasoning remains an open…

人工智能 · 计算机科学 2025-02-14 Hanmeng Liu , Zhizhang Fu , Mengru Ding , Ruoxi Ning , Chaoli Zhang , Xiaozhang Liu , Yue Zhang

Large Language Models (LLMs) have demonstrated impressive real-world utility, exemplifying artificial useful intelligence (AUI). However, their ability to reason adaptively and robustly -- the hallmarks of artificial general intelligence…

机器学习 · 计算机科学 2025-08-27 Seungwook Han , Jyothish Pari , Samuel J. Gershman , Pulkit Agrawal

Logic can be made useful for programming and for databases independently of logic programming. To be useful in this way, logic has to provide a mechanism for the definition of new functions and new relations on the basis of those given in…

计算机科学中的逻辑 · 计算机科学 2014-12-30 M. H. van Emden

We consider state of the art applications of artificial intelligence (AI) in modelling human financial expectations and explore the potential of quantum logic to drive future advancements in this field. This analysis highlights the…

计算金融 · 定量金融 2025-10-08 Fabio Bagarello , Francesco Gargano , Polina Khrennikova

As artificial intelligence (AI) models continue to scale up, they are becoming more capable and integrated into various forms of decision-making systems. For models involved in moral decision-making, also known as artificial moral agents…

人工智能 · 计算机科学 2023-07-04 Avish Vijayaraghavan , Cosmin Badea

This article discusses some trends and concepts in developing new generation of future Artificial General Intelligence (AGI) systems which relate to complex facets and different types of human intelligence, especially social, emotional,…

人工智能 · 计算机科学 2020-12-14 Andrzej Cichocki , Alexander P. Kuleshov

Artificial intelligence is transforming the way we work with information across disciplines and practical contexts. A growing range of disciplines are now involved in studying, developing, and assessing the use of AI in practice, but these…

计算机与社会 · 计算机科学 2024-09-20 Denis Newman-Griffis

This is a reflection on the author's experience in teaching logic at the graduate level in a computer science department. The main lesson is that model building and the process of modelling must be placed at the centre stage of logic…

计算机与社会 · 计算机科学 2015-07-19 Roger Villemaire

We present a family of logics for reasoning about agents' positions and motion in the plane which have several potential applications in the area of multi-agent systems (MAS), such as multi-agent planning and robotics. The most general…

人工智能 · 计算机科学 2017-02-07 Philippe Balbiani , David Fernández-Duque , Emiliano Lorini

Aristotle is generally accepted as the father of logic. The ideas that he raised in his study of logical reasoning carried the development of science over the centuries. Today, in the era of AI, this title of the fatherhood of logic has a…

人工智能 · 计算机科学 2025-03-18 Antonis C. Kakas

Artificial Intelligence (AI) systems are being deployed around the globe in critical fields such as healthcare and education. In some cases, expert practitioners in these domains are being tasked with introducing or using such systems, but…

计算机与社会 · 计算机科学 2021-06-16 Iain Barclay , Will Abramson