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"Rapunzel, let down your hair! When she heard the witch, she gathered up her long blond hair; which no-one had ever cut, and let it slide down the tow...
On the 17 of July 2020, the High-Level Expert Group on Artificial Intelligence (AI HLEG) presented their final Assessment List for Trustworthy Artific...
The Ethics Guidelines for Trustworthy Artificial Intelligence (AI) is a document prepared by the High-Level Expert Group on Artificial Intelligence (A...
Between AI and Social Choice
Computational social choice is an expanding field that merges classical topics like economics and voting theory with more modern topics like artificia...
Between Artificial Intelligence and Social Choice
Lifelong Machine Learning, Second Edition is an introduction to an advanced machine learning paradigm that continuously learns by accumulating past kn...
12th Annual ERCIM International Workshop on Constraint Solving and Contraint Logic Programming, CSCLP 2007 Rocquencourt, France, June 7-8, 2007 Revised Selected Papers
This book constitutes the thoroughly refereed and extended post-workshop proceedings of the 12th Annual ERCIM International Workshop on Constraint Sol...
First International Conference, ADT 2009, Venice, Italy, October 2009, Proceedings
This volume contains the papers presented at ADT 2009, the first International Conference on Algorithmic Decision Theory. The conference was held in S...
Logic Programming is a style of programming in which programs take the form of sets of sentences in the language of Symbolic Logic. Over the years, th...
Planning is the branch of Artificial Intelligence (AI) that seeks to automate reasoning about plans, most importantly the reasoning that goes into for...
An Entertaining Coloring Experience
Imagine that you, just like the protagonist of 'Alice in Wonderland', are drinking from a mysterious bottle with a label that reads "Drink Me!" and su...
Exact Algorithms
Graphical models (e.g., Bayesian and constraint networks, influence diagrams, and Markov decision processes) have become a central paradigm for knowle...
Support Vectors Machines have become a well established tool within machine learning. They work well in practice and have now been used across a wide ...