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Future coalition operations can be substantially augmented through agileteaming between human and machine agents, but in a coalition context theseagents may be unfamiliar to the human users and expected to operate in a broadset of scenarios rather than being narrowly defined for particular purposes. Insuch a setting it is essential that the human agents can rapidly build trust inthe machine agents through appropriate transparency of their behaviour, e.g.,through explanations. The human agents are also able to bring their localknowledge to the team, observing the situation unfolding and deciding which keyinformation should be communicated to the machine agents to enable them tobetter account for the particular environment. In this paper we describe theinitial steps towards this human-agent knowledge fusion (HAKF) environmentthrough a recap of the key requirements, and an explanation of how these can befulfilled for an example situation. We show how HAKF has the potential to bringvalue to both human and machine agents working as part of a distributedcoalition team in a complex event processing setting with uncertain sources.

Towards human-agent knowledge fusion (HAKF) in support of distributed coalition teams