Improvement to the Movement Algorithm in the MANA Agent-based Distillation

7-2-4.jpg
7-2-4.jpg

Improvement to the Movement Algorithm in the MANA Agent-based Distillation

9.95

Author(s): Andrew W. Gill
No pages: 4
Year: 2004
Article ID: 7-2-4
Keywords: operations research, simulation and training
Format: Electronic (PDF)

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Abstract: MANA is a popular agent-based distillation (ABD), or low-resolution simulation, which has been used to explore a variety of defence operations. Movement of agents within the MANA ABD is based on a simple attraction-repulsion weighting system and an associated numerical penalty function. A recent paper by the author analysed this movement algorithm to find unexpected behaviour and suggested an alternative penalty function. This paper compares the two approaches on a dynamic, combative scenario. Appropriate parameter values for the proposed approach are derived and the effect of the movement algorithm on typical parametric studies is also investigated.