Cognitive Models Of Science
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| Author | : Jerome R. Busemeyer |
| Publisher | : SAGE |
| Total Pages | : 225 |
| Release | : 2010 |
| Genre | : Psychology |
| ISBN | : 0761924507 |
Responding to an explosion of new mathematical and computational models used in the fields of cognitive science, this book provides simple tutorials concerning the development and testing of such models. The authors focus on a few key models, with a primary goal of equipping readers with the fundamental principles, methods, and tools necessary for evaluating and testing any type of model encountered in the field of cognitive science.
| Author | : Thad A. Polk |
| Publisher | : MIT Press |
| Total Pages | : 1300 |
| Release | : 2002 |
| Genre | : Psychology |
| ISBN | : 9780262661164 |
A comprehensive introduction to the computational modeling of human cognition.
| Author | : Ronald N. Giere |
| Publisher | : U of Minnesota Press |
| Total Pages | : 548 |
| Release | : 1992 |
| Genre | : Science |
| ISBN | : 9780816619795 |
This work resulted from a workshop on the implications of the cognitive sciences for the philosophy of science held under the auspices of the Minnesota Center for Philosophy of Science. The workshop's theme was that the cognitive sciences - identified for the purposes of this project with three disciplinary clusters: artificial intelligence, cognitive psychology, and cognitive neuroscience - have reached sufficient maturity that they are now a valuable resource for philosophers of science who are developing general theories of science as a human activity. The emergence of cognitive science has by no means escaped the notice of philosophers or philosophers of science. Within the philosophy of science one can detect an emerging speciality, the philosophy of cognitive science, which would be parallel to such specialities as the philosophy of physics or the philosophy of biology. But the reverse is also happening. That is, the cognitive sciences are beginning to have a considerable impact on the content and methods of philosophy, particularly the philosophy of language and the philosophy of mind, but also on epistemology. The underlying hope is that the cognitive sciences might now come to play the sort of role within the philosophy of science that formal logic played for logical empiricism or that history of science played for the historical school. This development might permit the philosophy of science as a whole finally to move beyond the opposition between "logical" and "historical" approaches that has characterized the field since the 1960s. "Ronald N. Giere is Professor of Philosophy and Director of the Minnesota Center for Philosophy of Science at the University of Minnesota.".
| Author | : Paul Thagard |
| Publisher | : MIT Press (MA) |
| Total Pages | : 0 |
| Release | : 2012 |
| Genre | : Bilim- Felsefe |
| ISBN | : 9780262017282 |
Thagard examines scientific development from the interdisciplinary perspective of cognitive science. Cognitive science combines insights from: philosophers analyze historical cases, psychologists carry out behavioral experiments, neuroscientists perform brain scans, and computer modelers write programs that simulate thought processes.
| Author | : Don Ross |
| Publisher | : MIT Press |
| Total Pages | : 466 |
| Release | : 2005 |
| Genre | : Business & Economics |
| ISBN | : 9780262182461 |
A hilariously funny cookbook–cum–how–I–did–it memoir by the chef/restaurateur who created New York's dazzling Ápizz restaurant. At the age of thirty–seven, John LaFemina left a lucrative career as a jeweler to become a chef. Instead of going back to school, or getting on–the–job training, he did it the hard way: he bought the restaurant and then taught himself to cook. Today he owns two of New York's great Italian restaurants–Ápizz and Peasant–and is one of the city's most–talked–about chefs, earning rave reviews from fans and critics. In this gorgeous cookbook, he not only shares scores of recipes, but describes his life as a Canarsie boy learning about meatballs and macaroni in his mother's kitchen–and reveals how he drew on a lifetime of Italian cooking, and his own hard work and exquisite taste to create his dream restaurant from scratch. LaFemina takes us step–by–step through the process of finding the perfect location (and figuring out how many meatballs you have to sell to pay the rent), designing a restaurant, procuring all the necessary permits and licenses, and creating the menu. And this is just the first part of running a restaurant. He shares his experiences in dealing with the public and the press, unexpected disasters, and finally, basking in the glory of a popular restaurant. Along with his inspiring story, John LaFemina also shares 100 mouthwatering recipes, including: Lasagna with Braised Wild Boar Mushroom Risotto Veal, Beef, and Pork Meatballs with Ricotta Filling Open Ravioli with Roasted Butternut Squash Creamsicle Panna Cotta Chocolate Banana Bread Pudding
| Author | : Tom Verguts |
| Publisher | : MIT Press |
| Total Pages | : 265 |
| Release | : 2022-02-01 |
| Genre | : Science |
| ISBN | : 0262045362 |
An introduction to computational modeling for cognitive neuroscientists, covering both foundational work and recent developments. Cognitive neuroscientists need sophisticated conceptual tools to make sense of their field’s proliferation of novel theories, methods, and data. Computational modeling is such a tool, enabling researchers to turn theories into precise formulations. This book offers a mathematically gentle and theoretically unified introduction to modeling cognitive processes. Theoretical exercises of varying degrees of difficulty throughout help readers develop their modeling skills. After a general introduction to cognitive modeling and optimization, the book covers models of decision making; supervised learning algorithms, including Hebbian learning, delta rule, and backpropagation; the statistical model analysis methods of model parameter estimation and model evaluation; the three recent cognitive modeling approaches of reinforcement learning, unsupervised learning, and Bayesian models; and models of social interaction. All mathematical concepts are introduced gradually, with no background in advanced topics required. Hints and solutions for exercises and a glossary follow the main text. All code in the book is Python, with the Spyder editor in the Anaconda environment. A GitHub repository with Python files enables readers to access the computer code used and start programming themselves. The book is suitable as an introduction to modeling cognitive processes for students across a range of disciplines and as a reference for researchers interested in a broad overview.
| Author | : Ralf Engbert |
| Publisher | : Springer Nature |
| Total Pages | : 158 |
| Release | : 2021-03-02 |
| Genre | : Psychology |
| ISBN | : 3030672999 |
The development of cognitive models is a key step in the challenging research program to advance our understanding of human cognition and behavior. Dynamical models represent a general and flexible approach to cognitive modeling. This introduction focuses on applications of stochastic processes and dynamical systems to model cognition. The dynamical approach is particularly useful to emphasize the strong link between experimental research (and its paradigms), data analysis, and mathematical models including their computer implementation for numerical simulation. Most of specific examples are from the domain of eye movement research, with concepts being applicable to a broad range of problems in cognitive modeling. The textbook aims at the graduate and/or advanced undergraduate level for students in Cognitive Science and related disciplines such as Psychology and Computer Science. Joint introduction of the theory of cognitive processes and mathematical models, their underlying mathematical concepts, numerical simulation, and analysis; The focus on eye movements provide a theoretically coherent, but very general application area; Computer code in R Programming Language for Statistical Computing is available for all examples, figures, and solutions to exercises.
| Author | : Myint Swe Khine |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 289 |
| Release | : 2011-03-01 |
| Genre | : Science |
| ISBN | : 9400704496 |
The process of developing models, known as modeling, allows scientists to visualize difficult concepts, explain complex phenomena and clarify intricate theories. In recent years, science educators have greatly increased their use of modeling in teaching, especially real-time dynamic modeling, which is central to a scientific investigation. Modeling in science teaching is being used in an array of fields, everything from primary sciences to tertiary chemistry to college physics, and it is sure to play an increasing role in the future of education. Models and Modeling: Cognitive Tools for Scientific Enquiry is a comprehensive introduction to the use of models and modeling in science education. It identifies and describes many different modeling tools and presents recent applications of modeling as a cognitive tool for scientific enquiry.
| Author | : Ángel Nepomuceno-Fernández |
| Publisher | : Springer Nature |
| Total Pages | : 502 |
| Release | : 2019-10-24 |
| Genre | : Philosophy |
| ISBN | : 3030327221 |
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 reasoning. The respective papers assess different types of reasoning, and discuss various concepts of inference and creativity and their relationship with experimental data. In turn, the third part reports on a number of epistemological and technological issues. By analyzing possible contradictions in modern research and describing representative case studies, this part is intended to foster new discussions and stimulate new ideas. All in all, the book provides researchers and graduate students in the fields of applied philosophy, epistemology, cognitive science, and artificial intelligence alike with an authoritative snapshot of the latest theories and applications of model-based reasoning.
| Author | : Lawrence M. Ward |
| Publisher | : MIT Press |
| Total Pages | : 386 |
| Release | : 2002 |
| Genre | : Psychology |
| ISBN | : 9780262232173 |
An introduction to the application of dynamical systems science to the cognitive sciences. Dynamical Cognitive Science makes available to the cognitive science community the analytical tools and techniques of dynamical systems science, adding the variables of change and time to the study of human cognition. The unifying theme is that human behavior is an "unfolding in time" whose study should be augmented by the application of time-sensitive tools from disciplines such as physics, mathematics, and economics, where change over time is of central importance. The book provides a fast-paced, comprehensive introduction to the application of dynamical systems science to the cognitive sciences. Topics include linear and nonlinear time series analysis, chaos theory, complexity theory, relaxation oscillators, and metatheoretical issues of modeling and theory building. Tools and techniques are discussed in the context of their application to basic cognitive science problems, including perception, memory, psychophysics, judgment and decision making, and consciousness. The final chapter summarizes the contemporary study of consciousness and suggests how dynamical approaches to cognitive science can help to advance our understanding of this central concept.
