@book{203459e12cd544739bd04d08bac31c95,
title = "Toward Robots That Reason: Logic, Probability & Causal Laws",
abstract = "This book discusses the two fundamental elements that underline the science and design of artificial intelligence (AI) systems: the learning and acquisition of knowledge from observational data, and the reasoning of that knowledge together with whatever information is available about the application at hand. It then presents a mathematical treatment of the core issues that arise when unifying first-order logic and probability, especially in the presence of dynamics, including physical actions, sensing actions and their effects. A model for expressing causal laws describing dynamics is also considered, along with computational ideas for reasoning with such laws over probabilistic logical knowledge.",
author = "Vaishak Belle",
year = "2023",
month = feb,
day = "20",
doi = "10.1007/978-3-031-21003-7",
language = "English",
isbn = "978-3-031-21005-1",
series = "Synthesis Lectures on Artificial Intelligence and Machine Learning",
publisher = "Springer",
address = "United Kingdom",
}