Software project dynamics: an integrated approach
Software project dynamics: an integrated approach
The nature of statistical learning theory
The nature of statistical learning theory
Lazy learning
Tutorial, Human Factors in Software Development
Tutorial, Human Factors in Software Development
Inductive Logic Programming: From Machine Learning to Software Engineering
Inductive Logic Programming: From Machine Learning to Software Engineering
Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
Incremental Induction of Decision Trees
Machine Learning
On Project Management Scheduling where Human Resource is a Critical Variable
EWSPT '98 Proceedings of the 6th European Workshop on Software Process Technology
Managing the human-software environment
STEP '97 Proceedings of the 8th International Workshop on Software Technology and Engineering Practice (STEP '97) (including CASE '97)
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This chapter presents a project proposal that defines future work in engineering the learning processes in cognitive systems. This proposal outlines a number of directions in the fields of systems engineering, machine learning, knowledge engineering and profile theory, that lead to the development of formal methods for the modeling and engineering of learning systems. This chapter describes a framework for formalization and engineering the cognitive processes, which is based on applications of computational methods. The proposed work studies cognitive processes in software development process and considers a cognitive system as a multi-agents system of human-cognitive agents. It is important to note that this framework can be applied to different types of learning systems, and there are various techniques from different theories (e.g., system theory, quantum theory, neural networks) can be used for the description of cognitive systems, which in turn can be represented by different types of cognitive agents.