A complete classification of ethical attitudes in multiple agent systems
Matteo Cristani, Elisa Burato · 2009
We provide a complete classification of agents' attitudes in performing actions that are evaluated in a three-valued space with respect to three evaluation contexts: personal advantage, social usefulness and legality. Moreover we found an algorithmical approach to approximatively solve the problem of abducing the agent's attitude by observing the actions she chose among her feasible ones. Knowing agents' behavioural rules is relevant in constituting agents' societies.