A Simple-Minded Network Model with Context-like Objects - Bruce Edmonds

Contents

Contents

Abstract

1 - Introduction

2 - Some context-related properties a bridging model might need to include

2.1 - (more specific) contexts increase inferential power

2.2 - learning (new information) occurs in specific contexts

2.3 - knowledge can be generalised from specific contexts (to more general ones)

2.4 - contexts themselves can be objects of inference

2.5 - different contexts can be selected depending on previous contexts (as well as other facts)

2.6 - whether something acts as a context or not could itself be context-dependent

3 - Modelling context as an emergent property of a more basic structure

4 - An enhanced network model

5 - Some extensions of the model

5.1 - Negation

5.2 - Necessity

6 - Relation of the model to some other formalisations

6.1 - Semantic networks

6.2 - Mixed defeasible inheritance networks

6.3 - McCarthy Style Contextual logic

7 - Conclusion

References

Generated with CERN WebMaker