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Abstract. Training for the maintenance of collective skills or team skills
is important to any organization, particularly a military organization. While
it is generally accepted that a higher level of individual
skill is advantageous to team outcomes, the details of how
individual skills contribute is not well understood. A number of
experiments have been carried out where the proficiencies of individual
cellular automata agents are varied and collective measures of the
effect are recorded. This gave an indication of the individual
proficiency level required for a likely positive collective outcome. This
paper focuses on investigating the effect on collective outcome of
the degradation of individual combat skills, when applied to both
uniform and mixed groups, using the agent-based distillation (ABD) Map
Aware Non-uniform Automata (MANA), to simulate the behaviour of small
teams. We used current (accepted) theory of how individual skills
are lost over time to examine the training frequency required
of individual skills to maintain an effective level. Several characteristics
of individual skill degradation in small units have been predicted.
This study has revealed the differences between the individual skills
of shooting accuracy and stealth in their effect on small-unit
outcomes. Terrain was shown to have little effect on unit
performance for these scenarios. An important outcome was the observation
of team skills decaying differently to individual skills, suggesting that
a training schedule set to maintain team proficiency might differ
from a training schedule set to maintain individual proficiency.
Related topics:
simulation and training, training and analysis
View first page of "Dexter: Linking Individual Skills To Collective Outcomes: An Agent-Based Distillation Study"
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