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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 defense
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 analyzed 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.
Related topics:
operations research, simulation and training
View first page of "Gill: Improvement to the Movement Algorithm in the MANA Agent-based Distillation"
Papers by Gill
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