Abstract: Future command teams will exists of human and artificial actors. This paper introduces
a taxonomy of collaboration types in human – agent teams. Using two classifying
dimensions, coordination type and collaboration type, eight different classes of human
– agent collaborations transpire. These classes might aid designers in pinpointing the
socio-technical design issues associated with these kinds of hybrid organizations.
Abstract: One of the first requirements for building multi-agent systems with complex and dynamic structures is to have agents that are able to operate in such organizations. Being able to adopt different organizational roles is one of the key requirements for an agent in order to have this ability. Another requirement for the agent we intend to build is the ability to operate in a dynamic environment. This means the agent has to be able to construct a plan for the task it is about to perform and while performing the task, the agent has to be able to evaluate whether the plan is still valid. When changes in the environment have caused the plan to become invalid, the agent needs to be able to generate a new and valid plan for the task. The agent architecture that is described in this document is a step towards an agent that meets these requirements of operating in a dynamic organization and dynamic environment.
Abstract: In this paper we present a decision making framework to enable agents to dynamically select a coordination mechanism. To demonstrate our approach we introduce an abstract task environment in which agents have to cooperate to achieve their goals. These agents are capable of using two coordination mechanisms, a centralized and a decentralized mechanism. We show how the decision making framework is operationalized in this abstract task environment. Furthermore, in an experiment we compare the performance of two static organizations with an organization in which agents have the ability to switch between coordination mechanisms. Results show that the ability to switch improves performance of the MAS.
Abstract: The project ‘SlimVerbinden’ addresses the challenge of retaining
autonomy while sharing information among multiple parties. Based on a web of
trust, information providers can grant and deny access to information, while
information consumers can delegate access to specific members within their
‘organization’ (which can be defined within and/or across existing organizations).
The policy- and PKI-based realization enables an agent-based secure shared distributed
dataspace where no single party knows ‘everything’ and the barriers to
information sharing are lowered. The use-case involves public–private cooperation
during the mitigation of an incident and drives the development of an operational
Abstract: Results from disaster research suggest that methods for coordination between individual emergency responders and organizations should recognize the independence and autonomy of these actors. These actor features are key factors in effective adaptation and improvisation of response to emergency situations which are inherently uncertain. Autonomy and adaptability are also well-known aspects of a multi-agent system (MAS). In this paper we present two MAS strategies that can effectively handle aircraft deicing incidents. These MAS strategies help improve to prevent and reduce e.g. airplane delays at deicing stations due to changing weather conditions or incidents at the station, where aircraft agents adopting pre-made plans that would act on behalf of aircraft pilots or companies, would only create havoc. Herein each agent using its own decision mechanism deliberates about the uncertainty in the problem domain and the preferences (or priorities) of the agents. Furthermore, taking both these issues into account each proposed MAS strategy outperforms a naive first-come, first-served coordination strategy. The simulation results help pilots and companies taking decisions with respect to the scheduling of the aircraft for deicing when unexpected incidents occur: they provide insights in the impacts and means for robust selection of incident-specific strategies on e.g. deicing station delays of (individual) aircraft.