Scientific discovery is a driving force for progress involving creative problem-solving processes to further our understanding of the world. The process of scientific discovery has historically been intensive and time-consuming; however, advances in computational power and algorithms have provided an efficient route to make new discoveries. Complex tools using artificial intelligence (AI) can efficiently analyze data as well as generate new hypotheses and theories. Along with AI becoming increasingly prevalent in our daily lives and the services we access, its application to different scientific domains is becoming more widespread. For example, AI has been used for the early detection of medical conditions, identifying treatments and vaccines (e.g., against COVID-19), and predicting protein structure. The application of AI in psychological science has started to become popular. AI can assist in new discoveries both as a tool that allows more freedom to scientists to generate new theories and by making creative discoveries autonomously. Conversely, psychological concepts such as heuristics have refined and improved artificial systems. With such powerful systems, however, there are key ethical and practical issues to consider. This article addresses the current and future directions of computational scientific discovery generally and its applications in psychological science more specifically.

科学发现是进步的推动力，涉及创造性的问题解决过程，以加深我们对世界的理解。历史上，科学发现的过程是密集且耗时的；然而，计算能力和算法的进步为进行新发现提供了一条有效途径。使用人工智能 (AI) 的复杂工具可以有效地分析数据并生成新的假设和理论。随着人工智能在我们的日常生活和我们获得的服务中变得越来越普遍，它在不同科学领域的应用也越来越广泛。例如，AI 已被用于医疗状况的早期检测、确定治疗方法和疫苗（例如，针对 COVID-19）以及预测蛋白质结构。人工智能在心理科学中的应用开始流行起来。人工智能既可以作为一种工具，让科学家更自由地产生新理论，也可以通过自主进行创造性发现来协助新发现。相反，启发式等心理学概念已经完善和改进了人工系统。然而，对于如此强大的系统，有一些关键的伦理和实际问题需要考虑。本文总体上介绍了计算科学发现的当前和未来方向，并更具体地介绍了它在心理科学中的应用。启发式等心理学概念已经完善和改进了人工系统。然而，对于如此强大的系统，有一些关键的伦理和实际问题需要考虑。本文总体上介绍了计算科学发现的当前和未来方向，并更具体地介绍了它在心理科学中的应用。启发式等心理学概念已经完善和改进了人工系统。然而，对于如此强大的系统，有一些关键的伦理和实际问题需要考虑。本文总体上介绍了计算科学发现的当前和未来方向，并更具体地介绍了它在心理科学中的应用。