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“看不见的”，从未开发的环境到依赖于代理和道德规范的内部状态的社会互动。意识反映了一个虚拟的世界，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实例化，作为一个集成的计算架构及其组件来解释生物系统中的意识，并在技术系统中进行工程设计。它将实现感知、记忆、虚拟化、模拟和集成的底层计算组件，将架构体现在机器人和人工代理中，并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，使用可接受的措施和行为相关的意识。用例将涉及机器人觅食、社交机器人、电脑游戏基准和健康教练中人类生成的决策树。这些基准将侧重于解决权衡，例如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的意识工程伴随着对人类用户和更广泛的可信赖人工智能中的有意识人工制品的道德框架，考虑到共享本体，意图互补性和行为匹配，移情，结果的相关性，互惠性，反事实和对新的未来情景的预测，并预测选择的影响。由于其可解释性、适应性和易读性，CAVAA将提供更好的用户体验。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，因为它使不可见的东西变得可见。

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.