|
gptkbp:instance_of
|
gptkb:book
|
|
gptkbp:anatomy
|
gptkb:N/_A
|
|
gptkbp:author
|
gptkb:Dana_Mackenzie
gptkb:Judea_Pearl
|
|
gptkbp:contains
|
case studies
theoretical discussions
examples
|
|
gptkbp:contributes_to
|
gptkb:Artificial_Intelligence
gptkb:machine_learning
data science
|
|
gptkbp:discusses
|
do-calculus
causal diagrams
counterfactuals
|
|
gptkbp:explores
|
practical applications
philosophical implications
scientific implications
|
|
gptkbp:focus
|
causal inference
|
|
gptkbp:genre
|
gptkb:non-fiction
|
|
gptkbp:has_contribution
|
gptkb:N/_A
|
|
gptkbp:has_influenced
|
policy making
social sciences
causal reasoning
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
The Book of Why
|
|
gptkbp:influences
|
gptkb:computer_science
gptkb:philosophy
statistics
|
|
gptkbp:is_available_in
|
gptkb:e_Book
hardcover
paperback
|
|
gptkbp:is_cited_in
|
research articles
academic papers
theses
|
|
gptkbp:is_part_of
|
Pearl's causal framework
|
|
gptkbp:is_reviewed_by
|
journals
online platforms
magazines
|
|
gptkbp:is_used_in
|
workshops
seminars
university courses
|
|
gptkbp:isbn
|
978-0465097609
|
|
gptkbp:language
|
English
|
|
gptkbp:notable_work
|
Causality: Models, Reasoning, and Inference
|
|
gptkbp:page_count
|
gptkb:368
|
|
gptkbp:part_of_series
|
gptkb:N/_A
|
|
gptkbp:published_year
|
gptkb:2018
|
|
gptkbp:publisher
|
Basic Books
|
|
gptkbp:received
|
positive reviews
|
|
gptkbp:subject
|
causality
|
|
gptkbp:target_audience
|
gptkb:scholars
gptkb:students
general public
|
|
gptkbp:translated_into
|
multiple languages
|
|
gptkbp:bfsParent
|
gptkb:Judea_Pearl
|
|
gptkbp:bfsLayer
|
3
|