@book {2017,
	title = {Human and Machine Thinking},
	series = {John M. MacEachran Memorial Lecture Series},
	year = {1993},
	pages = {189},
	publisher = {Lawrence Erlbaum Associates},
	organization = {Lawrence Erlbaum Associates},
	address = {Hillsdale},
	abstract = {<p>Human And Machine Thinking aims to reach an understanding of how the mind carries out three sorts of thinking (deduction, induction, and creation) to consider what goes right and what goes wrong, and to explore computational models of these sorts of thinking. Written for students of the mind (psychologists, computer scientists, philosophers, linguists, and other cognitive scientists) it also provides general readers with a self-contained account of human and machine thinking. Phil Johnson-Laird presents his point of view, rather than a review, as simply as possible so that no technical background is required. Like the field of research itself, Human And Machine Thinking calls for hard thinking about thinking, and yet remains accessible for any non-specialist general reader.</p>
},
	keywords = {Artificial intelligence., Human information processing, Thought and thinking},
	isbn = {080580921X},
	url = {http://lccn.loc.gov/92017170},
	author = {Johnson-Laird, P. N.}
}
