CAVAA: Counterfactual Assessment and Valuation for Awareness Architecture

反事实评估和评估意识架构（CAVAA）项目提出，意识服务于在一个由隐藏状态控制的世界中生存，以处理“无形”，从未探索的环境到依赖于代理人和道德规范的内部状态的社会互动。意识反映了一个虚拟世界，一个感知证据、记忆状态和推断的“不可观察”的混合体，在空间和时间上延伸。CAVAA项目将实现一种意识理论，该理论被实例化为一个集成的计算架构及其组件，以解释生物系统中的意识，并在技术系统中对其进行工程设计。它将实现感知，记忆，虚拟化，模拟和集成的基础计算组件，体现机器人和人工代理的架构，在涉及多个人类和人工代理之间交互的一系列用例中验证它，使用公认的措施和行为相关的意识。用例将解决机器人觅食，社交机器人，计算机游戏基准和健康教练中的人类生成的决策树。这些基准将侧重于解决搜索效率和鲁棒性之间的权衡，并评估人类用户对感知技术的接受程度。CAVAA的意识工程伴随着一个道德框架，该框架针对人类用户和更广泛的可信赖人工智能中的意识人工制品，考虑共享本体，意图互补和行为匹配，同情，结果相关性，互惠性，反事实和对新未来情景的预测，并预测选择的影响。CAVAA将提供更好的用户体验，因为它的可解释性，适应性和易读性。CAVAA的综合框架重新定义了我们如何看待人类，其他物种和智能技术之间的关系，因为它使不可见的可见。

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