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Axiomatic approach has demonstrated its power in mathematics. The main goal of this preprint is to show that axiomatic methods are also very efficient for computer science. It is possible to apply these methods to many problems in computer…

Logic · Mathematics 2007-05-23 Mark Burgin

Notes from 11 October 2004 lecture presented at the Joint Institute for Nuclear Astrophysics R-Matrix School at Notre Dame University.

Nuclear Theory · Physics 2007-05-23 Carl R. Brune

This is the Proceedings of the Twentieth Conference on Uncertainty in Artificial Intelligence, which was held in Banff, Canada, July 7 - 11 2004.

Artificial Intelligence · Computer Science 2014-08-29 Max Chickering , Joseph Halpern

This contribution contains the introductory historical remarks that I presented at IAU Symposium 270 on "Computational Star Formation" held in Barcelona, Spain, May 31 - June 4, 2010. I give a personal view of some of the early histoy of…

Solar and Stellar Astrophysics · Physics 2015-05-19 Richard B. Larson

This is my working paper on a proposed logical framework for the practice of mathematics, which is paralleled by philosophical considerations and a computer implementation (a variant of Automath). Updated 10/27/2016 with a version from…

Logic · Mathematics 2016-10-31 M. Randall Holmes

Since the first conference In Marseille in 1982, the International Conference on Logic Programming (ICLP) has been the premier international event for presenting research in logic programming. These proceedings include technical…

Logic in Computer Science · Computer Science 2025-02-13 Pedro Cabalar , Francesco Fabiano , Martin Gebser , Gopal Gupta , Theresa Swift

This text aims to present and explain quantum machine learning algorithms to a data scientist in an accessible and consistent way. The algorithms and equations presented are not written in rigorous mathematical fashion, instead, the…

Quantum Physics · Physics 2018-04-27 Dawid Kopczyk

Those lectures revolve around the following problem: given a system of n real polynomials in n variables, count the number of real roots. The first lecture is a course on Newton iteration and alpha-theory. The second describes an…

Numerical Analysis · Mathematics 2012-11-12 Gregorio Malajovich

An elementary review of quantum cosmology. (Talk given at Texas/Pascos 1992 at Berkeley)

General Relativity and Quantum Cosmology · Physics 2009-10-22 Alexander Vilenkin

In this paper, we will expound upon the concepts proffered in [1], where we proposed an information theoretic approach to intelligence in the computational sense. We will examine data and meme aggregation, and study the effect of limited…

Artificial Intelligence · Computer Science 2015-03-27 Daniel Kovach

The 6th Annual Conference on Health, Inference, and Learning (CHIL 2025), hosted by the Association for Health Learning and Inference (AHLI), was held in person on June 25-27, 2025, at the University of California, Berkeley, in Berkeley,…

Machine Learning · Computer Science 2025-11-05 Emily Alsentzer , Marie-Laure Charpignon , Bill Chen , Niharika D'Souza , Jason Fries , Yixing Jiang , Aparajita Kashyap , Chanwoo Kim , Simon Lee , Aishwarya Mandyam , Ashery Mbilinyi , Nikita Mehandru , Nitish Nagesh , Brighton Nuwagira , Emma Pierson , Arvind Pillai , Akane Sano , Tanveer Syeda-Mahmood , Shashank Yadav , Elias Adhanom , Muhammad Umar Afza , Amelia Archer , Suhana Bedi , Vasiliki Bikia , Trenton Chang , George H. Chen , Winston Chen , Erica Chiang , Edward Choi , Octavia Ciora , Paz Dozie-Nnamah , Shaza Elsharief , Matthew Engelhard , Ali Eshragh , Jean Feng , Josh Fessel , Scott Fleming , Kei Sen Fong , Thomas Frost , Soham Gadgil , Judy Gichoya , Leeor Hershkovich , Sujeong Im , Bhavya Jain , Vincent Jeanselme , Furong Jia , Qixuan Jin , Yuxuan Jin , Daniel Kapash , Geetika Kapoor , Behdokht Kiafar , Matthias Kleiner , Stefan Kraft , Annika Kumar , Daeun Kyung , Zhongyuan Liang , Joanna Lin , Qianchu Liu , Chang Liu , Hongzhou Luan , Chris Lunt , Leopoldo Julían Lechuga López , Matthew B. A. McDermott , Shahriar Noroozizadeh , Connor O'Brien , YongKyung Oh , Mixail Ota , Stephen Pfohl , Meagan Pi , Tanmoy Sarkar Pias , Emma Rocheteau , Avishaan Sethi , Toru Shirakawa , Anita Silver , Neha Simha , Kamile Stankeviciute , Max Sunog , Peter Szolovits , Shengpu Tang , Jialu Tang , Aaron Tierney , John Valdovinos , Byron Wallace , Will Ke Wang , Peter Washington , Jeremy Weiss , Daniel Wolfe , Emily Wong , Hye Sun Yun , Xiaoman Zhang , Xiao Yu Cindy Zhang , Hayoung Jeong , Kaveri A. Thakoor

In this paper we approach the astronomy teaching process for the students in computer sciences through the controlled investigation method on real astronomical data, using data reduction and quality control of the astrometry of near-Earth…

Instrumentation and Methods for Astrophysics · Physics 2018-02-26 A. L. Boldea , O. Vaduvescu

The present overview of interacting particle systems on random graphs collects the notes of a mini-course given by the authors at the Brazilian School of Probability, 5--9 August 2024, in Salvador, Bahia, Brazil. The content is a personal…

Probability · Mathematics 2024-10-24 F. Capannoli , F. den Hollander

Computational intelligence is broadly defined as biologically-inspired computing. Usually, inspiration is drawn from neural systems. This article shows how to analyze neural systems using information theory to obtain constraints that help…

Neurons and Cognition · Quantitative Biology 2018-05-11 Michael Wibral , Joseph T. Lizier , Viola Priesemann

This is the Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence, which was held in Madison, WI, July 24-26, 1998

Artificial Intelligence · Computer Science 2014-08-29 Gregory Cooper , Serafin Moral

These notes were compiled as lecture notes for a course developed and taught at the University of the Southern California. They should be accessible to a typical engineering graduate student with a strong background in Applied Mathematics.…

Machine Learning · Computer Science 2023-01-04 Deep Ray , Orazio Pinti , Assad A. Oberai

In this work, we explain the setup for a technical, graduate-level course on Fairness, Accountability, Confidentiality, and Transparency in Artificial Intelligence (FACT-AI) at the University of Amsterdam, which teaches FACT-AI concepts…

Artificial Intelligence · Computer Science 2021-12-20 Ana Lucic , Maurits Bleeker , Sami Jullien , Samarth Bhargav , Maarten de Rijke

Recently delivered lectures on Self-Referential Mathematics, [2], at the Department of Mathematics and Applied Mathematics, University of Pretoria, are briefly presented. Comments follow on the subject, as well as on Inconsistent…

General Mathematics · Mathematics 2009-05-05 Elemer E Rosinger

This article explores the feasibility of creating an "electronic copy" of a deceased researcher by training artificial intelligence (AI) on the data stored in their personal computers. By analyzing typical data volumes on inherited…

Computers and Society · Computer Science 2025-07-08 Mark Zilberman

This volume contains papers presented at WLPE 2005, 15th International Workshop on Logic-based methods in Programming Environments. The aim of the workshop is to provide an informal meeting for the researchers working on logic-based tools…

Programming Languages · Computer Science 2007-05-23 Alexander Serebrenik , Susana Munoz-Hernandez