Year: 2011
Type: report
Abstract: In Normative Multi-Agent Systems (NorMAS), researchers have investigated several mechanisms for agents to learn norms. In the context of agents learning norms, the objectives of the paper are three-fold. First, this paper aims at providing an overview of different mechanisms employed by researchers for norm learning. Second, it discusses the contributions of different mechanisms to the three aspects of active learning namely learning by doing, observing and com- municating. Third, it compares two normative architectures which have an emphasis on the learning of norms. It also discusses the features that should be considered in future norm learning architectures.
Author: Bastin Tony Roy Savarimuthu
Institution: University of Otago
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W836888305