SOURCE-LINKED INTELLIGENCE

A metapredictive model of synthetic awareness for enabling tool invention

CORDIS · observation · Publication date unknown

ontrol 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

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recordType

award

status

SIGNED

region

EU

value

3298843.75

unit

EUR