Artificial Intelligence with Uncertainty Book

PREFACE

THE 50-YEAR HISTORY OF ARTIFICIAL INTELLIGENCE Departure from Dartmouth Symposium Expected Goals as Time Goes on AI Achievements in 50 years Major Development of AI in the Information Age The Cross Trend between AI, Brain Science, and Cognitive Science

METHODOLOGIES OF AI Symbolism Methodology Connectionism Methodology Behaviorism Methodology Reflection on Methodologies

ON UNCERTAINTIES OF KNOWLEDGE On Randomness On Fuzziness Uncertainties in Natural Languages Uncertainties in Commonsense Knowledge Other Uncertainties of Knowledge

MATHEMATICAL FOUNDATION OF AI WITH UNCERTAINTY Probability Theory Fuzzy Set Theory Rough Set Theory Chaos and Fractal Kernel Functions and Principal Curves

QUALITATIVE AND QUANTITATIVE TRANSFORM MODEL-CLOUD MODEL Perspectives in the Study of AI with Uncertainty Representing Concepts Using Cloud Models Normal Cloud Generator Mathematical Properties of Normal Cloud On the Pervasiveness of the Normal Cloud Model

DISCOVERING KNOWLEDGE WITH UNCERTAINTY THROUGH METHODOLOGIES IN PHYSICS From Perception of Physical World to Perception of Human Self Data Field Uncertainty in Concept Hierarchy Knowledge Discovery State Space

DATA MINING FOR DISCOVERING KNOWLEDGE WITH UNCERTAINTY Uncertainty in Data Mining Classification and Clustering with Uncertainty Discovery of Association Rules with Uncertainty Time Series Data Mining and Forecasting

REASONING AND CONTROL OF QUALITATIVE KNOWLEDGE Qualitative Rule Construction by Cloud Qualitative Control Mechanism Inverted Pendulum: An Example of Intelligent Control with Uncertainty

A NEW DIRECTION OF AI WITH UNCERTAINTY Computing with Words Study on Cognitive Physics Complex Networks with Small World and Scale-Free Models Long Way to Go for AI with Uncertainty

INDEX