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A BDI-based methodology for eliciting tactical decision-making expertise

conference contribution
posted on 2024-10-31, 20:38 authored by Ricardo Evertsz, John ThangarajahJohn Thangarajah, Thanh Ly
There is an ongoing need to computationally model human tactical decision-making, for example in military simulation, where the tactics of human combatants are modelled for the purposes of training and wargaming. These efforts have been dominated by AI-based approaches, such as production systems and the BDI (Beliefs, Desires, Intentions) paradigm. Typically, the tactics are elicited from human domain experts, but due to the pre-conscious nature of much of human expertise, this is a non-trivial exercise. Knowledge elicitation methods developed for expert systems and ontologies have drawbacks when it comes to tactics modelling. Our objective has been to develop a new methodology that addresses the shortcomings, resulting in an approach that supports the efficient elicitation of tactical decision-making expertise and its mapping to a modelling representation that is intuitive to domain experts. Rather than treating knowledge elicitation, as a process of extracting knowledge from an expert, our approach views it as a collaborative modelling exercise with the expert involved in critiquing the models as they are constructed. To foster this collaborative process, we have employed an intuitive, diagrammatic representation for tactics. This paper describes TEM (Tactics Elicitation Methodology), a novel synthesis of knowledge elicitation with a BDI-based tactics modelling methodology, and outlines three case studies that provide initial support for our contention that it is an effective means of eliciting tactical decision-making knowledge in a form that can be readily understood by domain experts.

History

Start page

13

End page

26

Total pages

14

Outlet

Proceedings of the 24th National Conference of the Australian Society for Operations Research 2016

Editors

Ruhul Sarker, Hussein A. Abbass, Simon Dunstall, Philip Kilby, Richard Davis, Leon Young

Name of conference

Data and Decision Sciences in Action

Publisher

Springer

Place published

Switzerland

Start date

2016-11-16

End date

2016-11-18

Language

English

Copyright

© Springer International Publishing AG 2017

Former Identifier

2006076703

Esploro creation date

2020-06-22

Fedora creation date

2017-09-13

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