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Algorithmic Decision Theory

6th International Conference, ADT 2019, Durham, NC, USA, October 25–27, 2019, Proceedings

  • Conference proceedings
  • © 2019

Overview

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11834)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: ADT 2019.

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Table of contents (10 papers)

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  1. Algorithmic Decision Theory

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About this book

This book constitutes the conference proceedings of the 6th International Conference on Algorithmic Decision Theory, ADT 2019, held in Durham, NC, USA, in October 2019.  The 10 full papers presented together with 7 short papers were carefully selected from 31 submissions. The papers focus on algorithmic decision theory broadly defined, seeking to bring together researchers and practitioners coming from diverse areas of computer science, economics and operations research in order to improve the theory and practice of modern decision support.

Editors and Affiliations

  • Fuqua School of Business, Duke University, Durham, USA

    Saša Pekeč

  • Florida Institute for Human and Machine Cognition (IHMC), Pensacola, USA

    Kristen Brent Venable

Bibliographic Information

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