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This book explores how we investigate the world and make sense of complex evidence, revealing both our strengths and flaws.
Should I have this medical treatment or that one? Is this computer a better buy than that one? Should I invest in shares or keep my money under the bed? We all face a perplexing array of decisions every day. Thoroughly revised and updated throughout, the new edition of Straight Choices provides an integrative account of the psychology of decision-making, and shows how psychological research can help us understand our uncertain world. Straight Choices emphasises the relationship between learning and decision-making, arguing that the best way to understand how and why decisions are made is in the context of the learning and knowledge acquisition which precedes them, and the feedback which foll...
We all face a perplexing array of decisions every day. Straight Choices provides an integrative account of the psychology of decision making, in which clear connections are made between empirical results and how these results can help us to understand our uncertain world. Throughout the text, there is an emphasis on the relationship between learning and decision making. The authors argue that the best way to understand how and why decisions are made is in the context of the learning and knowledge acquisition that precedes them and the feedback that follows them. The mechanisms of learning and the structure of environments in which decisions are made are carefully examined to explore the ways...
Understanding causal structure is a central task of human cognition. Causal learning underpins the development of our concepts and categories, our intuitive theories, and our capacities for planning, imagination and inference. During the last few years, there has been an interdisciplinary revolution in our understanding of learning and reasoning: Researchers in philosophy, psychology, and computation have discovered new mechanisms for learning the causal structure of the world. This new work provides a rigorous, formal basis for theory theories of concepts and cognitive development, and moreover, the causal learning mechanisms it has uncovered go dramatically beyond the traditional mechanisms of both nativist theories, such as modularity theories, and empiricist ones, such as association or connectionism.
Causal reasoning is one of our most central cognitive competencies, enabling us to adapt to our world. Causal knowledge allows us to predict future events, or diagnose the causes of observed facts. We plan actions and solve problems using knowledge about cause-effect relations. Without our ability to discover and empirically test causal theories, we would not have made progress in various empirical sciences. The handbook brings together the leading researchers in the field of causal reasoning and offers state-of-the-art presentations of theories and research. It provides introductions of competing theories of causal reasoning, and discusses its role in various cognitive functions and domains. The final section presents research from neighboring fields.
Identifies how human judgment and decision making may evolve, develop and be learned or trained.
This book presents an integrated framework for developing and testing computational models in psychology and related disciplines. Researchers and students are given the knowledge and tools to interpret models published in their area, as well as to develop, fit, and test their own models.
“Poignant . . . deeply personal . . . an indelible history of the largely forgotten Jews of Egypt . . . ” —Miami Herald In vivid and graceful prose, Lucette Lagnado re-creates the majesty and cosmopolitan glamour of Cairo in the years before Gamal Abdel Nasser’s rise to power. With Nasser’s nationalization of Egyptian industry, her father, Leon, a boulevardier who conducted business in his white sharkskin suit, loses everything, and departs with the family for any land that will take them. The poverty and hardships they encounter in their flight from Cairo to Paris to New York are strikingly juxtaposed against the beauty and comforts of the lives they left behind. An inversion of the American dream set against the stunning portraits of three world cities, Lucette Lagnado’s memoir offers a grand and sweeping story of faith, tradition, tragedy, and triumph.
The work of Daniel Kahneman and Amos Tversky has transformed the study of judgment and decision-making, and penetrated related disciplines such as economics, finance, marketing, law and medicine. In recognition of these achievements, Kahneman was awarded the Nobel Prize for Economics in 2003. This special issue presents ongoing research inspired by both Kahneman and Tversky. It covers many of the central themes the heuristics and biases of judgment and prediction, framing effects, assessments and predictions of utility that made their work so innovative. The specially written papers illustrate the range and depth of this work, and emphasise its continued relevance to current research.
This book discusses how scientific and other types of cognition make use of models, abduction, and explanatory reasoning in order to produce important and innovative changes in theories and concepts. Gathering revised contributions presented at the international conference on Model-Based Reasoning (MBR18), held on October 24–26 2018 in Seville, Spain, the book is divided into three main parts. The first focuses on models, reasoning, and representation. It highlights key theoretical concepts from an applied perspective, and addresses issues concerning information visualization, experimental methods, and design. The second part goes a step further, examining abduction, problem solving, and r...