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Active HORIZON European Commission

Counterfactual Assessment and Valuation for Awareness Architecture

€3.13M EUR

Funder European Commission
Recipient Organization Stichting Radboud Universiteit
Country Netherlands
Start Date Oct 01, 2022
End Date Sep 30, 2026
Duration 1,460 days
Number of Grantees 11
Roles Participant; Associated Partner; Coordinator; Third Party
Data Source European Commission
Grant ID 101071178
Grant Description

The Counterfactual Assessment and Valuation for Awareness Architecture (CAVAA) project proposes that awareness serves survival in a world governed by hidden states, to deal with the invisible, from unexplored environments to social interaction that depends on the internal states of agents and moral norms.

Awareness reflects a virtual world, a hybrid of perceptual evidence, memory states, and inferred unobservables, extended in space and time.

The CAVAA project will realize a theory of awareness instantiated as an integrated computational architecture and its components to explain awareness in biological systems and engineer it in technological ones.

It will realize underlying computational components of perception, memory, virtualization, simulation, and integration, embody the architecture in robots and artificial agents, validate it across a range of use-cases involving the interaction between multiple humans and artificial agents, using accepted measures and behavioural correlates of awareness.

Use cases will address robot foraging, social robotics, computer game benchmarks and human-generated decision trees in a health coach.

These benchmarks will focus on resolving trade-offs, e.g. between search efficiency and robustness, and assess the acceptance of human users of aware technology.

CAVAAs awareness engineering is accompanied by an ethics framework towards human users and aware artefacts in the broader spectrum of trustworthy AI, considering shared ontologies, intention complementarity, and behavioural matching, an empathy, relevance of outcomes, reciprocity, counterfactuals and projections towards new future scenarios, and to predict the impact of choices.

CAVAA will deliver a better user experience because of its explainability, adaptability, and legibility.

CAVAAs integrated framework redefines how we look at the relationship between humans, other species and smart technologies because it makes the invisible visible.

All Grantees

Robotnik Automation Sl; Ethniko Kentro Erevnas Kai Technologikis Anaptyxis; The University of Sheffield; Stichting Radboud Universiteit; Tp21 Gmbh; Uppsala Universitet; Eodyne Systems Sl; Technische Universitaet Chemnitz; The Chancellor, Masters and Scholars of the University of Oxford; Centre National de la Recherche Scientifique CNRS; Sorbonne Universite

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