论文标题
通过故意立场了解不可预见的
Understanding the Unforeseen via the Intentional Stance
论文作者
论文摘要
我们提出了一种理解观察到的药物的新型行为的体系结构和系统。我们方法的两个主要特征是采用丹内特的故意立场和类比推理，作为理解不可预见经验的主要计算机制之一。我们的方法使用与过去的经验进行类比来构建假设的理由，以解释观察到的药物的行为。而且，我们将类比视为部分。因此，可以将多种过去的经验混合在一起，以类似地解释一个不可预见的事件，从而导致更大的推理灵活性。我们认为，这种方法比基于表面级比较的方法更有意义地解释了观察到的行为。行为解释而不是分类的关键优势是i）基于推理和ii）做出适当的回答，ii）做出非平凡的预测，允许验证假设的解释。我们提供了一个简单的用例，以通过在加油站环境中的类比来展示新的经验理解。
We present an architecture and system for understanding novel behaviors of an observed agent. The two main features of our approach are the adoption of Dennett's intentional stance and analogical reasoning as one of the main computational mechanisms for understanding unforeseen experiences. Our approach uses analogy with past experiences to construct hypothetical rationales that explain the behavior of an observed agent. Moreover, we view analogies as partial; thus multiple past experiences can be blended to analogically explain an unforeseen event, leading to greater inferential flexibility. We argue that this approach results in more meaningful explanations of observed behavior than approaches based on surface-level comparisons. A key advantage of behavior explanation over classification is the ability to i) take appropriate responses based on reasoning and ii) make non-trivial predictions that allow for the verification of the hypothesized explanation. We provide a simple use case to demonstrate novel experience understanding through analogy in a gas station environment.
