Fast and accurate data-driven goal recognition using process mining techniques

DOI10.1016/j.artint.2023.103973MaRDI QIDQ6080644

Nick van Beest, Zihang Su, Sebastian Sardiña, Artem Polyvyanyy, Nir Lipovetzky

Publication date: 4 October 2023

Published in: Artificial Intelligence (Search for Journal in Brave)

zbMATH Keywords

process miningdata-drivenautonomous agentfast and accurategoal recognition

Mathematics Subject Classification ID

Artificial intelligence (68Txx)

Cites Work

• An integrated approach of learning, planning, and execution
• Expecting the unexpected: goal recognition for rational and irrational agents
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• STRIPS: A new approach to the application of theorem proving to problem solving
• Directed Unfolding of Petri Nets
• Cost-Based Goal Recognition in Navigational Domains
• An Introduction to the Planning Domain Definition Language
• Adversarial Reasoning
• Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates
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