A metapredictive model of synthetic awareness for enabling tool invention

用于实现工具发明的综合意识元预测模型

• 批准号: 10052855
• 金额: $ 75.71万
• 依托单位: UNIVERSITY OF SUSSEX
• 依托单位国家: 英国
• 项目类别: EU-Funded
• 财政年份: 2022
• 资助国家: 英国
• 起止时间: 2022 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=10052855
• 关键词: metapredictive; model; synthetic; awareness; enabling

Around 3.3 million years ago our ancestors made the first tool. They imagined a new utensil and then knapped a stone until it became an efficient tool for cutting. Tool creation was an outstanding technological milestone for humanity providing us with unprecedented control over our environment. This ability required cognitive capabilities, such as prediction, metacognition, abstraction, and creativity—all of which are associated in humans with awareness. Current artificial intelligence systems and robots largely lack these capabilities and cannot even monitor and evaluate the consequence of their actions let alone develop new tools to address environmental challenges. METATOOL aims to provide a computational model of synthetic awareness to enhance adaptation and achieve tool invention. This will enable a robot to monitor and self-evaluate its performance, ground and reuse this information for adapting to new circumstances, and finally unlock the possibility of creating new tools. Under the predictive account of awareness, and based on both neuroscientific and archeological evidence, we will: 1) develop a novel computational model of metacognition based on predictive processing (metaprediction) and 2) validate its utility in real robots in two use case scenarios: conditional sequential tasks and tool creation. METATOOL will provide a blueprint for the next generation of artificial systems and robots that can perform adaptive, and anticipative, control with and without tools (improved technology), self-evaluation (novel explainable AI), and invent new tools (disruptive innovation). Tool-making and tool-invention are outstanding technological milestones in human history. A similar breakthrough can now be envisioned in engineering. We already have algorithms to enable machines to use tools and now it is time to develop robots that create tools.

大约330万年前，我们的祖先制造了第一个工具。他们想象一种新的器具，然后敲打一块石头，直到它成为一种有效的切割工具。工具的创造是人类一个杰出的技术里程碑，为我们提供了对环境的前所未有的控制。这种能力需要认知能力，如预测、元认知、抽象和创造力，所有这些都与人类的意识有关。目前的人工智能系统和机器人在很大程度上缺乏这些能力，甚至无法监测和评估其行为的后果，更不用说开发新的工具来应对环境挑战了。METATOOL旨在提供一个合成感知的计算模型，以增强适应性并实现工具发明。这将使机器人能够监控和自我评估其性能，并将这些信息用于适应新的环境，最终释放创造新工具的可能性。在意识的预测性解释下，基于神经科学和考古学证据，我们将：1）开发一种基于预测处理（元预测）的元认知计算模型; 2）在两种用例场景下验证其在真实的机器人中的实用性：条件顺序任务和工具创建。METATOOL将为下一代人工系统和机器人提供蓝图，这些系统和机器人可以执行自适应和预期控制，使用和不使用工具（改进的技术），自我评估（新颖的可解释人工智能）和发明新工具（破坏性创新）。工具制造和工具发明是人类历史上杰出的技术里程碑。类似的突破现在可以预见在工程领域。我们已经有了让机器使用工具的算法，现在是时候开发能创造工具的机器人了。