Abstract
The challenge of ensuring that the right information is avail-
able to the right personnel at the right time and in the right format is
becoming increasingly important as military forces adopt a vision of
Network Centric Warfare and Operations. This is particularly true in
a dynamic environment with prevalent uncertainty, where various types
and sources of information must be consulted while the information re-
quirements change during planing and re-planning. The heterogeneity in
doctrine and information systems inherent to coalition operations com-
pounds this problem, particularly from the point of view of human users
that must not only plan and execute missions but also keep in mind all
potentially relevant sources of information, leading to cognitive overload.
We have developed the ANTicipatory Information and Planning Agent
(ANTIPA) [11] to manage information adaptively in order to mitigate
user cognitive overload. To this end, the agent brings information to the
user as a result of user requests, but, most crucially, it proactively pre-
dicts the user’s prospective information needs by recognizing the user’s
plan; prefetches information that is likely to be used in the future; and
offers the information when it is relevant to the current or future plan-
ning decisions. In this paper we review the ANTIPA architecture and
describe potential applications of ANTIPA in coalition operations
able to the right personnel at the right time and in the right format is
becoming increasingly important as military forces adopt a vision of
Network Centric Warfare and Operations. This is particularly true in
a dynamic environment with prevalent uncertainty, where various types
and sources of information must be consulted while the information re-
quirements change during planing and re-planning. The heterogeneity in
doctrine and information systems inherent to coalition operations com-
pounds this problem, particularly from the point of view of human users
that must not only plan and execute missions but also keep in mind all
potentially relevant sources of information, leading to cognitive overload.
We have developed the ANTicipatory Information and Planning Agent
(ANTIPA) [11] to manage information adaptively in order to mitigate
user cognitive overload. To this end, the agent brings information to the
user as a result of user requests, but, most crucially, it proactively pre-
dicts the user’s prospective information needs by recognizing the user’s
plan; prefetches information that is likely to be used in the future; and
offers the information when it is relevant to the current or future plan-
ning decisions. In this paper we review the ANTIPA architecture and
describe potential applications of ANTIPA in coalition operations
| Original language | English |
|---|---|
| Title of host publication | Knowledge Systems for Coalition Operations 2010 |
| Number of pages | 9 |
| Publication status | Published - 2010 |