A framework for monitoring agent-based normative systems

The behaviours of autonomous agents may deviate from those deemed to be for the good of the societal systems of which they are a part. Norms have therefore been proposed as a means to regulate agent behaviours in open and dynamic systems, where these norms specify the obliged, permitted and prohibited behaviours of agents. Regulation can effectively be achieved through use of enforcement mechanisms that result in a net loss of utility for an agent in cases where the agent’s behaviour fails to comply with the norms. Recognition of compliance is thus crucial for achieving regulation. In this paper we propose a generic architecture for observation of agent behaviours, and recognition of these behaviours as constituting, or counting as, compliance or violation. The architecture deploys monitors that receive inputs from observers, and processes these inputs together with transition network representations of individual norms. In this way, monitors determine the fulfillment or violation ...

• Type: Conference
• Year: 2009
• Where: ATAL
• Authors: Sanjay Modgil, Noura Faci, Felipe Rech Meneguzzi, Nir Oren, Simon Miles, Michael Luck
• Keywords: Agent Behaviours, Agent’s Behaviour Fails, Artificial Intelligence, ATAL 2009, Behaviours