This paper presents a new approach to analysing and understanding civil emergency planning based on the notion of responsibility modelling combined with HAZOPS analysis of information requirements. Our goal is to represent complex contingency plans so that they can be more readily understood, so that inconsistencies can be highlighted and vulnerabilities discovered. In this paper, we outline th...

A fundamental assumption made by classical AI planners is that there is no uncertainty in the world: the planner has full knowledge of the conditions under which the plan will be executed and the outcome of every action is fully predictable. These planners cannot therefore construct contingency plans, i.e., plans in which diierent actions are performed in diierent circumstances. In this paper w...

Offline strategies and contingency plans are not adequately flexible in these settings. We are seeking online methods for commanding and advising collectives in order to adjust how individuals relate to one another and to their group. These methods provide social control. In this paper we offer design and initial implementation of a framework for social control in the domain of reconnaissance a...