AAAI Symposium on Causal Models, Counterfactual Inference, and Imagination-Based AI

Abstract

The AAAI spring symposium is intended to bring together people from many fields inside and outside AI who are interested in studying causality. The current project is to support students and a small number of invited speakers to attend the AAAI spring symposium which is focused on causality as the central theme. It is expected that the symposium will inspire the next generation of AI scientists to work on this important problem and make lasting contributions.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2021
Accession Number
AD1208738

Entities

People

  • Carlos Cinelli
  • Murat Kocaoglu
  • Prasad Tadepalli

Organizations

  • Oregon State University

Tags

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Artificial Intelligence Software
  • Automata Theory
  • Causal Reasoning
  • Cognitive Science
  • Computational Science
  • Computer Languages
  • Computer Science
  • Computer Vision
  • Computers
  • Data Fusion
  • Data Science
  • Information Science
  • Machine Learning
  • Network Science
  • Neural Networks
  • Reasoning
  • Social Sciences
  • Statistics
  • Unsupervised Machine Learning

Readers

  • Academic Conference Management
  • Neural Network Machine Learning.
  • Political Violence and Terrorism Studies.

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy