跨表示系统转换新方法,让不同表达形式间自由变换。
Structure Transfer: an Inference-Based Calculus for the Transformation of Representations
- 基于结构迁移规则,实现源表示到目标表示的自动转换
- 通过模式编码知识,确保转换前后满足指定关系(如语义等价)
- 适用于形式语言、几何图示等多样系统,通用性强
表示选择对有效沟通与推理至关重要。本文解决的核心问题是:如何设计不依赖具体表示系统(RS)的技术,以驱动表示的转换与选择。我们提出一种新型演算——结构迁移,可在不同表示系统间实现表示转换。给定来自源系统的表示,结构迁移规则可生成目标系统的对应表示。其通用性源于能够保证源表示与生成的目标表示满足任意指定关系(如语义等价)。这通过模式实现,模式编码了关于表示系统间关系的知识,可表达任意一对表示系统间的信息保持关系。结构迁移利用这些知识推导出目标表示的结构,从而确保预期关系成立。我们基于表示系统理论,借助构造空间这一核心概念进行形式化。构造空间的抽象性使其能建模多种类型的表示系统,包括形式语言、几何图形与图表,以及非正式符号。因此,结构迁移是一种系统无关的演算,可广泛应用于实际场景中识别替代表示。
原文摘要 · Abstract (English)
Representation choice is of fundamental importance to our ability to communicate and reason effectively. A major unsolved problem, addressed in this paper, is how to devise representational-system (RS) agnostic techniques that drive representation transformation and choice. We present a novel calculus, called structure transfer, that enables representation transformation across diverse RSs. Specifically, given a source representation drawn from a source RS, the rules of structure transfer allow us to generate a target representation for a target RS. The generality of structure transfer comes in part from its ability to ensure that the source representation and the generated target representation satisfy any specified relation (such as semantic equivalence). This is done by exploiting schemas, which encode knowledge about RSs. Specifically, schemas can express preservation of information across relations between any pair of RSs, and this knowledge is used by structure transfer to derive a structure for the target representation which ensures that the desired relation holds. We formalise this using Representational Systems Theory, building on the key concept of a construction space. The abstract nature of construction spaces grants them the generality to model RSs of diverse kinds, including formal languages, geometric figures and diagrams, as well as informal notations. Consequently, structure transfer is a system-agnostic calculus that can be used to identify alternative representations in a wide range of practical settings.
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