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Plans and situated actions: the problem of human-machine communication
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Intelligence without representation
Artificial Intelligence
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Artificial Intelligence
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KADS: a modelling approach to knowledge engineering
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Communications of the ACM
CYC: a large-scale investment in knowledge infrastructure
Communications of the ACM
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International Journal of Human-Computer Studies
Computer science as empirical inquiry: symbols and search
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Case-Based Reasoning: Experiences, Lessons and Future Directions
Case-Based Reasoning: Experiences, Lessons and Future Directions
Reinforcement Learning
Building Large Knowledge-Based Systems; Representation and Inference in the Cyc Project
Building Large Knowledge-Based Systems; Representation and Inference in the Cyc Project
Computer Structures: Principles and Examples
Computer Structures: Principles and Examples
Knowledge Acquisition without Analysis
Proceedings of the 7th European Workshop on Knowledge Acquisition for Knowledge-Based Systems
Knowledge in Context: A Strategy for Expert System Maintenance
AI '88 Proceedings of the 2nd Australian Joint Artificial Intelligence Conference
Knowledge-based system explanation: the ripple-down rules alternative
Knowledge and Information Systems
An Approach for Generalising Symbolic Knowledge
AI '08 Proceedings of the 21st Australasian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence
Generalising Symbolic Knowledge in Online Classification and Prediction
Knowledge Acquisition: Approaches, Algorithms and Applications
The Ballarat incremental knowledge engine
PKAW'10 Proceedings of the 11th international conference on Knowledge management and acquisition for smart systems and services
Online knowledge validation with prudence analysis in a document management application
Expert Systems with Applications: An International Journal
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Systems based on symbolic knowledge have performed extremely well in processing reason, yet, remain beset with problems of brittleness in many domains. Connectionist approaches do similarly well in emulating interactive domains, however, have struggled when modelling higher brain functions. Neither of these dichotomous approaches, however, have provided many inroads into the area of human reasoning that psychology and sociology refer to as the process of practice. This paper argues that the absence of a model for the process of practise in current approaches is a significant contributor to brittleness. This paper will investigate how the process of practise relates to deeper forms of contextual representations of knowledge. While researchers and developers of knowledge based systems have often incorporated the notion of context they treat context as a static entity, neglecting many connectionists' work in learning hidden and dynamic contexts. This paper argues that the omission of these higher forms of context is one of the fundamental problems in the application and interpretation of symbolic knowledge. Finally, these ideas for modelling context will lead to the reinterpretation of situation cognition which makes a significant step towards a philosophy of knowledge that could lead to the modelling of the process of practice.