This book offers a cognitive-semantic insight into the roots of the human decision-making process, using the metaphor of CHOICE AS CUBE. The areas of key interest are language, culture, and education as forms of social organization. This book addresses issues relevant to a number of fields, including social epistemology, cognitive linguistics, cognitive anthropology, philosophy, culture and education studies, and will be of interest to readers in these and related disciplines. Marek Kuzniak is a Professor of Linguistics at Wrocaw University, Poland. He is the author of books and articles in cognitive linguistics, legal translation, pragmatics, and philosophy of language. He is a member of numerous Polish and international associations, including the Polish Linguistic Association, Polish Cognitive Linguistics Association, Linguistic Society of America, and Societas Linguistica Europaea.
The Decision Making of Organic and Conventional Agricultural Producers
Englewood Cliffs , NJ : Prentice Hall . Nisbett , R. , & Ross , L. ( 1980 ) . Human Inference : Strategies and shortcomings of human judgment . Englewood Cliffs , NJ : Prentice - Hall . Oakley , K. , & Bolton , W. ( 1985 ) .
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Donner, T., Siegel, M., Fries, P., and Engel, A. K. (2009). Buildup of choice-predictive activity in human ... Fries, P., Nikoli ́c, D., and Singer, W. (2007). The gamma cycle. ... Boston: Pearson Education. Usher, M., and McClelland, ...
Casebook of Organizational Behavior
Quantitative Analysis For Management
For courses in Management Science or Decision Modeling. Render/Stair/Hanna puts an emphasis on model building and computer applications to show students how the techniques presented in the book are used in business.
Study Guide to Accompany Render and Stair's Quantitative Analysis for Management, Second Edition
Quantitative Analysis for Management
Based on the authors' recent Quantitative analysis for management, 4th ed. (1991), this text provides an alternative organization to accommodate the sequence of those management science courses which prefer the linear programming chapters ...