Computational Context: the Value, Theory and Application of Context with AI

Description

Content: Cover Title Page Copyright Page Table of Contents Preface 1: Introduction 2: Learning Context through Cognitive Priming 3: The Use of Contextual Knowledge in a Digital Society 4: Challenges with addressing the Issue of Context within AI and Human-Robot Teaming 5: Machine Learning Approach for Task Generation in Uncertain Contexts 6: Creating and Maintaining a World Model for Automated Decision Making 7: Probabilistic Scene Parsing 8: Using Computational Context Models to Generate Robot Adaptive Interactions with Humans 9: Context-Driven Proactive Decision Support: Challenges and Applications10: The Shared Story-Narrative Principles for Innovative Collaboration 11: Algebraic Modeling of the Causal Break and Representation of the Decision Process in Contextual Structures 12: A Contextual Decision-Making Framework 13: Cyber-(in)Security, Context and Theory: Proactive Cyber-Defenses Index