Models Of Thought

Nobel Laureate Herbert A. Simon has in the past quarter century been in the front line of the information-processing revolution; in fact, to a remarkable extent his and his colleagues' contributions have written the history of that revolution in cognitive psychology. Research in this burgeoning new branch of knowledge seeks to describe with precision the workings of the human mind in terms of a small number of basic mechanisms organized into strategies. Newly developed computer languages express theories of mental processes, so that computers can then simulate the predicted human behavior. This book brings together papers dating from the start of Simon's career to the present. Its focus is on modeling the chief components of human cognition and on testing these models experimentally. After considering basic structural elements of the human information-processing system (especially search, selective attention, and storage in memory), Simon builds from these components a system capable of solving problems, inducing rules and concepts, perceiving, and understanding. These essays describe a relatively austere, simple, and unified processing system capable of highly complex and various tasks. They provide strong evidence for an explanation of human thinking in terms of basic information processes.

Discover the essential thinking tools you’ve been missing with The Great Mental Models series by Shane Parrish, New York Times bestselling author and the mind behind the acclaimed Farnam Street blog and “The Knowledge Project” podcast. This first book in the series is your guide to learning the crucial thinking tools nobody ever taught you. Time and time again, great thinkers such as Charlie Munger and Warren Buffett have credited their success to mental models–representations of how something works that can scale onto other fields. Mastering a small number of mental models enables you to rapidly grasp new information, identify patterns others miss, and avoid the common mistakes that hold people back. The Great Mental Models: Volume 1, General Thinking Concepts shows you how making a few tiny changes in the way you think can deliver big results. Drawing on examples from history, business, art, and science, this book details nine of the most versatile, all-purpose mental models you can use right away to improve your decision making and productivity. This book will teach you how to: Avoid blind spots when looking at problems. Find non-obvious solutions. Anticipate and achieve desired outcomes. Play to your strengths, avoid your weaknesses, … and more. The Great Mental Models series demystifies once elusive concepts and illuminates rich knowledge that traditional education overlooks. This series is the most comprehensive and accessible guide on using mental models to better understand our world, solve problems, and gain an advantage.

A multidisciplinary collaboration exploring the role of cultural knowledge in everyday language and understanding.

The volume offers a number of representative papers on cognitive models that are invoked when people deal with questions of social identity, political and economic manipulation, and more general issues such as the genomic discourse. In line with the well-known volume Cultural Models in Language and Thought by Holland and Quinn (1987), the volume shows that Cognitive Linguistics has further explored the idea that we think about social reality in terms of models - 'cognitive/cultural models' or 'folk theories'. As in cultural models, the present volume demonstrates that the technical apparatus of Cognitive Linguistics can be used to analyze the various ways our conception of social reality is shaped by underlying cognitive and/or cultural models or patterns of thought, and also looks into how this is done. The new inroad the volume wants to pursue is the deliberate and explicit orientation towards a cognitive sociolinguistics, or more generally, a cognitive semiotics.

NEW YORK TIMES BESTSELLER The guru to the gurus at last shares his knowledge with the rest of us. Nobel laureate Daniel Kahneman's seminal studies in behavioral psychology, behavioral economics, and happiness studies have influenced numerous other authors, including Steven Pinker and Malcolm Gladwell. In Thinking, Fast and Slow, Kahneman at last offers his own, first book for the general public. It is a lucid and enlightening summary of his life's work. It will change the way you think about thinking. Two systems drive the way we think and make choices, Kahneman explains: System One is fast, intuitive, and emotional; System Two is slower, more deliberative, and more logical. Examining how both systems function within the mind, Kahneman exposes the extraordinary capabilities as well as the biases of fast thinking and the pervasive influence of intuitive impressions on our thoughts and our choices. Engaging the reader in a lively conversation about how we think, he shows where we can trust our intuitions and how we can tap into the benefits of slow thinking, contrasting the two-system view of the mind with the standard model of the rational economic agent. Kahneman's singularly influential work has transformed cognitive psychology and launched the new fields of behavioral economics and happiness studies. In this path-breaking book, Kahneman shows how the mind works, and offers practical and enlightening insights into how choices are made in both our business and personal lives--and how we can guard against the mental glitches that often get us into trouble.

Regain focus. Select relevant information. Make quick and clear decisions. We are dealing with too many options, too much information, conflicting advice on general choices like what diet to choose, or who to choose as a mate. It's hard to maintain focus and be confident in our decisions under such conditions. The Systems Thinker -Mental Models helps you make decisions based on your relevant thought patterns and true values. Finding the most relevant information to YOU, the best decision to YOU is a matter of exploring YOUR thoughts and wants. Mental models are cognitive frameworks that you can use to make order in your head, tune out the noise, and focus on what's important - without getting overwhelmed. Mental models provide transparency, order, deeper understanding, context, and most importantly, a clear solution or conclusion about problems. Using systems thinking as your leading cognitive tool will provide depth AND width to your mental analysis.Learn how corporate executives, economists, and policy makers analyze big data and make decisions based on it.-Discover 12 powerful thinking tools to facilitate your though processes-Understanding and model dynamic systems-Learn to use mental models through real-life examplesMental models are so much more than a cognitive tool; they help with productivity, enhance understanding, boost critical thinking, and analytical skills.-Understand how corporations make multidimensional decisions -Learn to design your own mental models to map out your real priorities-Learn to include soft variables such as emotions into your analysis -Shift your mindset from blaming to accountability and resolve conflicts easier.

In this candid and witty autobiography, Nobel laureate Herbert A. Simon looks at his distinguished and varied career, continually asking himself whether (and how) what he learned as a scientist helps to explain other aspects of his life. A brilliant polymath in an age of increasing specialization, Simon is one of those rare scholars whose work defines fields of inquiry. Crossing disciplinary lines in half a dozen fields, Simon's story encompasses an explosion in the information sciences, the transformation of psychology by the information-processing paradigm, and the use of computer simulation for modeling the behavior of highly complex systems. Simon's theory of bounded rationality led to a Nobel Prize in economics, and his work on building machines that think—based on the notion that human intelligence is the rule-governed manipulation of symbols—laid conceptual foundations for the new cognitive science. Subsequently, contrasting metaphors of the maze (Simon's view) and of the mind (neural nets) have dominated the artificial intelligence debate. There is also a warm account of his successful marriage and of an unconsummated love affair, letters to his children, columns, a short story, and political and personal intrigue in academe.

Human beings are active agents who can think. To understand how thought serves action requires understanding how people conceive of the relation between cause and effect, between action and outcome. In cognitive terms, how do people construct and reason with the causal models we use to represent our world? A revolution is occurring in how statisticians, philosophers, and computer scientists answer this question. Those fields have ushered in new insights about causal models by thinking about how to represent causal structure mathematically, in a framework that uses graphs and probability theory to develop what are called causal Bayesian networks. The framework starts with the idea that the purpose of causal structure is to understand and predict the effects of intervention. How does intervening on one thing affect other things? This is not a question merely about probability (or logic), but about action. The framework offers a new understanding of mind: Thought is about the effects of intervention and cognition is thus intimately tied to actions that take place either in the actual physical world or in imagination, in counterfactual worlds. The book offers a conceptual introduction to the key mathematical ideas, presenting them in a non-technical way, focusing on the intuitions rather than the theorems. It tries to show why the ideas are important to understanding how people explain things and why thinking not only about the world as it is but the world as it could be is so central to human action. The book reviews the role of causality, causal models, and intervention in the basic human cognitive functions: decision making, reasoning, judgment, categorization, inductive inference, language, and learning. In short, the book offers a discussion about how people think, talk, learn, and explain things in causal terms, in terms of action and manipulation.