How Much Can Experimental Cost Be Reduced in Active Learning of Agent Strategies?

• Published in: Inductive Logic Programming Vol. 11105; pp. 38 - 53
• Main Authors: Hocquette, Céline, Muggleton, Stephen
• Format: Book Chapter
• Language: English
• Published: Switzerland Springer International Publishing AG 01.01.2018; Springer International Publishing
• Series: Lecture Notes in Computer Science
• Subjects: Active learning; Agent-based modelling; Bayesian meta-interpretive learning

In science, experiments are empirical observations allowing for the arbitration of competing hypotheses and knowledge acquisition. For a scientist that aims at learning an agent strategy, performing experiments involves costs. To that extent, the efficiency of a learning process relies on the number...