Video games have long been studied to measure their effects on people’s cognitive abilities. When reading about the problem-solving processes and techniques, I couldn’t help but think of how I use these concepts when I play games, specifically strategy games. These kinds of games test players with new, challenging obstacles that they must plan ahead for and overcome by generating new knowledge (Emihovich et al., 2020). My personal favorite strategy games come from the Total War series which involves two armies clashing on a battlefield with a variety of unit types that serve different roles. I used examples from these games to show the involvement of the problem-solving concepts we talked about.
I want to first address how the various obstacles to problem-solving can come into play in strategy games. Mental sets are one such hindrance that refers to our tendency to repeat a learned, effective solution to a past problem (Goldstein, 2021). The issue with this is that we may rely on the learned solution even when the intricacies of a problem have changed. An example from the Total War games would be learning that a ranged unit will quickly whittle down a standard infantry unit. However, this matchup changes when an infantry unit is heavily armored. At that point, a ranged unit would not get much value and only waste its precious ammunition. Players might make this mistake, though, simply because they’ve seen how effective ranged units were against infantry in the past. Committing this mistake would be the result of following a mental set.
There is another obstacle to problem-solving that comes into play in these games. Functional fixedness is a concept seen when we restrict an object to its normal function (Goldstein, 2021). We don’t see how an object could be used in a different way. In a Total War battle, different types of units have clearly defined roles: melee infantry holds the frontline, cavalry flanks, ranged units dish out damage from a safe distance. While these are the optimal roles of these unit types, your opponent may challenge you in ways where you’d need to use a unit for an unorthodox purpose. For example, if the enemy is flanking your artillery with a melee infantry unit, the player may have to react by intercepting with a ranged unit. This is not an ideal matchup, but it would save the more vulnerable artillery unit and buy time for a more effective counter to arrive and deal with the threat. Many players may not think to use a ranged unit in this matter simply because they know its purpose is to damage from distance. That player would be a victim of functional fixedness, however, and the flanking problem would remain unsolved.
Besides the obstacles to problem-solving, strategy games also see the player using problem-solving strategies. Means-end analysis is used when we solve a problem by focusing on the barrier(s) between the initial and goal states (Goldstein, 2021). We can gradually make our way toward that goal by creating subgoals focused on conquering one part of the problem at a time. In a Total War battle, the player may consider all of their options in shutting down an enemy artillery unit (a powerful threat). They’d have to consider how to get past all of the enemy units in between while taking minimal damage. It would be quite the challenge, but finding that solution using means-end analysis would put their problem-solving skills to the test. This experience has the potential to carry over into real-life problem-solving as well which is why video games, like the Total War series, can certainly be beneficial to our cognitive processes.
References
Emihovich, B., Roque, N., Mason, J. (2020). Can Video Gameplay Improve Undergraduates’ Problem-Solving Skills? International journal of game-based learning. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8870796/
Goldstein, E. B. (2021). Cognitive psychology: Connecting mind, research, and everyday experience (5th ed.). Cengage.