Gatsby Computational Neuroscience Unit, London, United Kingdom.
PLoS Comput Biol. 2018 Jan 16;14(1):e1005916. doi: 10.1371/journal.pcbi.1005916. eCollection 2018 Jan.
Ideal decision-makers should constantly assess all sources of information about opportunities and threats, and be able to redetermine their choices promptly in the face of change. However, perpetual monitoring and reassessment impose inordinate sensing and computational costs, making them impractical for animals and machines alike. The obvious alternative of committing for extended periods of time to limited sensory strategies associated with particular courses of action can be dangerous and wasteful. Here, we explore the intermediate possibility of making provisional temporal commitments whilst admitting interruption based on limited broader observation. We simulate foraging under threat of predation to elucidate the benefits of such a scheme. We relate our results to diseases of distractibility and roving attention, and consider mechanistic substrates such as noradrenergic neuromodulation.
理想的决策者应该不断评估关于机会和威胁的所有信息来源,并能够在面对变化时迅速重新确定自己的选择。然而,持续的监测和重新评估会造成过度的感知和计算成本,使得动物和机器都无法实际应用。另一种明显的选择是在有限的感官策略上投入较长时间,这些策略与特定的行动方案相关联,这可能会很危险且浪费。在这里,我们探索了在承认基于有限的更广泛观察进行中断的前提下,做出临时时间承诺的中间可能性。我们通过模拟捕食者威胁下的觅食行为来阐明这种方案的好处。我们将研究结果与注意力分散和漫游注意力障碍的疾病联系起来,并考虑去甲肾上腺素能神经调制等机制基础。