Scripts Plans Goals And Understanding An Inquiry Into Human Knowledge Structures Pdf
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Scripts, Plans, Goals, and Understanding
First Published in 1977. In the summer of 1971, there was a workshop in an ill-defined field at the intersection of psychology, artificial intelligence, and linguistics. The fifteen participants were in various ways interested in the representation of large systems of knowledge (or beliefs) based upon an understanding process operating upon information expressed in natural language. This book reflects a convergence of interests at the intersection of psychology and artificial intelligence. What is the nature of knowledge and how is this knowledge used? These questions lie at the core of both psychology and artificial intelligence.
The researchED Guide to Professional Development: An evidence-informed guide for teachers
researchED is an educator-led organisation with the goal of bridging the gap between research and practice. This accessible and punchy series, overseen by founder Tom Bennett, tackles the most important topics in education, with a range of experienced contributors exploring the latest evidence and research and how it can apply in a variety of classroom settings. While there are many routes to growing great schools, investing in the quality of the teachers is one of the best bets to improve both pupils' educational outcomes and their experience of school. And, crucially, teacher quality is not fixed - all teachers can always improve. Professional development is not solely about the teaching techniques we use in the classroom, but encompasses the way we learn to think about the curriculum, how we manage behaviour, and even how we behave as leaders. In this book, Jo Facer brings together contributions from expert writers including Elisabeth Bowling, Nimish Lad, Reuben Moore and Jenny Thompson, to consider what we might learn from cutting-edge research, and how we might apply this to the messy, on-the-ground reality of schools today.
From Curve Fitting to Machine Learning
Author: Achim Zielesny
language: en
Publisher: Springer Science & Business Media
Release Date: 2011-07-28
The analysis of experimental data is at heart of science from its beginnings. But it was the advent of digital computers that allowed the execution of highly non-linear and increasingly complex data analysis procedures - methods that were completely unfeasible before. Non-linear curve fitting, clustering and machine learning belong to these modern techniques which are a further step towards computational intelligence. The goal of this book is to provide an interactive and illustrative guide to these topics. It concentrates on the road from two dimensional curve fitting to multidimensional clustering and machine learning with neural networks or support vector machines. Along the way topics like mathematical optimization or evolutionary algorithms are touched. All concepts and ideas are outlined in a clear cut manner with graphically depicted plausibility arguments and a little elementary mathematics. The major topics are extensively outlined with exploratory examples and applications. The primary goal is to be as illustrative as possible without hiding problems and pitfalls but to address them. The character of an illustrative cookbook is complemented with specific sections that address more fundamental questions like the relation between machine learning and human intelligence. These sections may be skipped without affecting the main road but they will open up possibly interesting insights beyond the mere data massage. All topics are completely demonstrated with the aid of the commercial computing platform Mathematica and the Computational Intelligence Packages (CIP), a high-level function library developed with Mathematica's programming language on top of Mathematica's algorithms. CIP is open-source so the detailed code of every method is freely accessible. All examples and applications shown throughout the book may be used and customized by the reader without any restrictions. The target readerships are students of(computer) science and engineering as well as scientific practitioners in industry and academia who deserve an illustrative introduction to these topics. Readers with programming skills may easily port and customize the provided code.