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The term "frame problem" refers to an issue that arises when utilizing first-order logic (FOL) to convey facts about a robot's situation in the environment. This problem has ramifications for both artificial intelligence and cognitive science. In conventional FOL, representing the state of a robot requires the use of a large number of axioms, many of which merely entail that items in the surrounding environment do not change in an arbitrary manner. For instance, Hayes outlines a "block world" that has laws for how blocks can be stacked on top of one another. In order to draw conclusions about the surrounding world using a FOL system, extra axioms are needed. The frame problem is the challenge of locating sufficient collections of axioms in order to provide a workable description of the environment in which a robot operates.
How You Will Benefit
(I) Insights, and validations about the following topics:
Chapter 1: Frame problem
Chapter 2: First-order logic
Chapter 3: Propositional calculus
Chapter 4: Intuitionistic logic
Chapter 5: Sequent calculus
Chapter 6: Situation calculus
Chapter 7: Answer set programming
Chapter 8: Circumscription (logic)
Chapter 9: Yale shooting problem
Chapter 10: Fluent (artificial intelligence)
(II) Answering the public top questions about frame problem.
(III) Real world examples for the usage of frame problem in many fields.
(IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of frame problem' technologies.
Who This Book Is For
Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of frame problem.
