Computational Modelling in Psychology introduces the principles of using computational models in psychology and provides a clear idea about how model construction, parameter estimation and model selection are carried out in practice. The book is written at a level that permits readers with a background in cognition, but without any modeling expertise. The authors present the co...(展开全部)

Computational Modelling in Psychology introduces the principles of using computational models in psychology and provides a clear idea about how model construction, parameter estimation and model selection are carried out in practice. The book is written at a level that permits readers with a background in cognition, but without any modeling expertise. The authors present the co...(展开全部)

Theoretical neuroscience provides a quantitative basis for describing what nervous systems do, determining how they function, and uncovering the general principles by which they operate. This text introduces the basic mathematical and computational methods of theoretical neuroscience and presents applications in a variety of areas including vision, sensory-motor integration, de...(展开全部)

Theoretical neuroscience provides a quantitative basis for describing what nervous systems do, determining how they function, and uncovering the general principles by which they operate. This text introduces the basic mathematical and computational methods of theoretical neuroscience and presents applications in a variety of areas including vision, sensory-motor integration, de...(展开全部)

How are social behaviors initiated, sustained, disrupted, and resumed? What are the cognitive bases of goals, and how are goals and actions affected by emotions? Putting an end to the traditional, and unproductive, juxtaposition of motivation and cognition, this book relates these domains to shed new light on the control of goal-directed action. Bringing together renowned socia...(展开全部)

Much of our understanding of human thinking is based on probabilistic models. This innovative book by Jerome R. Busemeyer and Peter D. Bruza argues that, actually, the underlying mathematical structures from quantum theory provide a much better account of human thinking than traditional models. They introduce the foundations for modelling probabilistic-dynamic systems using two...(展开全部)

杰尔姆•R.布斯迈耶（Jerome R. Busemeyer）是美国印第安纳大学Bloomington分校心理与脑科学系的教授。他的研究内容是学习和决策的数学模型，他提出了一个人类决策的动态理论，称为决策场理论。布斯迈耶教授在认知和决策科学期刊（包括《心理学评论》）上，发表了100多篇文章，并于2005~2010年担任《数学心理学期刊》的主编. 彼得•D.布鲁扎（Peter D. Bruza）是澳大利亚Brisbane Queensland大学科学与技术学院的教授，他的研究涉及信息检索、认知科学和应用逻辑。他是量子互动领域（QI）的先驱和发起人之一，并在量子互动研讨会的指导委员会任职。布鲁扎教授还在《信息检索》《应用逻辑学报》《IGPL逻辑学报》以及“信息科学与知识管理系列丛书”的编辑委员会任职。

In this in-depth text, the preeminent art education scholar Arthur Efland not only sheds light on the problems inhibiting art education, but also demonstrates how art contributes to the overall development of the mind. Delineating how the development of artistic interests and ability are important aspects of cognition and learning, he shows how art helps individuals construct c...(展开全部)

In this in-depth text, the preeminent art education scholar Arthur Efland not only sheds light on the problems inhibiting art education, but also demonstrates how art contributes to the overall development of the mind. Delineating how the development of artistic interests and ability are important aspects of cognition and learning, he shows how art helps individuals construct c...(展开全部)