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Study: Many small problems are better for the brain than one big problem

2025-08-18 22:48:00, Shëndeti CNA

Study: Many small problems are better for the brain than one big problem

The problems we face in our daily lives, especially in the modern era, are often complex. They stress and confuse us, especially when we think of them as large and complex, with many parameters and consequences.

Wouldn't it be better if we tackled them step by step? If we broke them down into smaller problems, which made up a larger problem, and solved these smaller problems one by one?

Of course we would! Researchers say there's no need to panic, as the human brain knows how to handle difficult mental tasks. According to a new study, published in the scientific journal Nature Human Behaviour, people use specific decision-making strategies to solve a difficult problem.

Study: Many small problems are better for the brain than one big problem

The human brain is incredibly capable of solving complex problems, and one of the reasons is its ability to break down problems into manageable subproblems that can be solved one at a time.

In this study, the ability to predict the path of a ball moving through a maze was examined, while the ball itself was hidden from the observer's view. The researchers note that the human brain cannot perform this task perfectly, as it is impossible to track all possible trajectories simultaneously.

The scientists were also able to roughly determine the conditions under which people choose one strategy or another. By slightly modifying the degree of memory impairment programmed into the models, they noticed signs that the switch from one strategy to another seemed to occur gradually, rather than in an instantaneous or absolute manner.

Study: Many small problems are better for the brain than one big problem

The research team is currently conducting additional studies to understand exactly what happens in the brain during these strategy changes.

The study also showed that what people can do is divide the maze into subsections and solve each stage using relatively simple algorithms. Essentially, when we don't have the tools to solve a complex problem, we end up using simpler methods that work, the researchers say./CNA





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