As we journey through life, our methods to handle our finances and make decisions about them evolve. It’s been observed in past studies that older adults may sometimes be more inclined to take risks compared to their younger counterparts when faced with financial choices. But what cognitive mechanisms drive these age-related shifts in risk tolerance? It is often suggested that a decline in mental abilities makes us less capable of managing risky or complex financial decisions as we age. However, does this decline truly drive the observed differences in risk-taking behaviour? And what implications does this have for our understanding of intelligence? A recent study titled “Older adults select different but not simpler strategies than younger adults in risky choices,” by Florian Bolenz and Thorsten Pachur from the Science of Intelligence (SCIoI) in Berlin, published in PLOS Computational Biology, proposes a different perspective. This research indicates that older adults employ decision-making strategies as complex as younger adults, albeit reflecting different risk appetites and motivations.
Revisiting cognitive ageing with a fresh lens, the study introduces a new computational model based on resource-rational strategy selection to analyse data from 122 participants, divided between younger adults (aged 18-30) and older adults (aged 63-88), across 105 risky scenarios. This model elucidates decision-making by weighing the mental effort involved against the payoff of a strategy, influenced by an individual’s preference for simplicity over reward. This study’s simulation of decision-making patterns contradicts the assumption that older adults tend towards more straightforward strategies. Interestingly, younger adults often adopt the “minimax heuristic,” a strategy aimed at minimising potential losses, essentially playing it safe to dodge the worst-case scenarios while potentially forgoing higher gains.
In contrast, some older adults favour the “maximax heuristic,” which prioritises maximising the potential for the best outcome over avoiding losses. This suggests that older individuals might be more prepared to pursue higher rewards despite more significant risks, depending on their personal goals and life circumstances. For example, consider Taylor, aged 30, who starts a local café focusing on stable income and low financial risk. On the other hand, Morgan aged 64, might choose to invest in a volatile global tech start-up driven by the possibility of substantial returns. Both individuals make calculated decisions, seeking greater rewards based on what they value most. This demonstrates that older adults’ decision-making is influenced by motivations that are no less complex than those of younger people.
Moreover, the study highlights the significant role of emotions in decision-making. The researchers incorporated cognitive and motivational aspects into their model. They discovered that older adults, typically experiencing fewer negative emotions than younger ones, adopt less risk-averse strategies under certain conditions. Analysis indicated that nearly 30% of the differences in decision-making between age groups could be attributed directly to changes in emotional responses. This finding suggests that it is not cognitive decline but shifts in emotional and motivational factors that lead older adults to approach risk differently.
For instance, when an older adult considers investing in a grandchild’s startup, they might focus more on the potential benefits and the satisfaction of supporting the family, driven by positive emotions and long-term goals, rather than strictly weighing the financial risks. Recognising that older adults use different but not necessarily more straightforward strategies can inform the creation of better support systems and public policies, such as personalised health information or tailored retirement planning systems, which could significantly improve decision-making processes for older adults, offering hope for a more secure financial future.
Finally, this study also contributes to the broader field of intelligence research by challenging the stereotype that cognitive decline in older adults results in simpler decision-making when it comes to risk. Instead, it highlights the adaptability and resilience of cognitive processes, showing that older adults are capable of employing sophisticated strategies. By exploring the interplay between cognitive and motivational factors, the research offers new insights into the nature of intelligence throughout life, providing valuable information that significantly enhances our understanding of intelligent decision-making.
More information: Florian Bolenz et al, Older adults select different but not simpler strategies than younger adults in risky choice, PLoS Computational Biology. DOI: 10.1371/journal.pcbi.1012204
Journal information: PLoS Computational Biology Provided by Technische Universität Berlin – Science of Intelligence
