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Prospective Memory: Remembering to Remember, Remembering to Forget 1st ed. 2017 [Minkštas viršelis]

  • Formatas: Paperback / softback, 106 pages, aukštis x plotis: 235x155 mm, weight: 1942 g, 6 Illustrations, color; 10 Illustrations, black and white; XI, 106 p. 16 illus., 6 illus. in color., 1 Paperback / softback
  • Serija: SpringerBriefs in Cognition
  • Išleidimo metai: 27-Nov-2017
  • Leidėjas: Springer International Publishing AG
  • ISBN-10: 3319689894
  • ISBN-13: 9783319689890
Kitos knygos pagal šią temą:
  • Formatas: Paperback / softback, 106 pages, aukštis x plotis: 235x155 mm, weight: 1942 g, 6 Illustrations, color; 10 Illustrations, black and white; XI, 106 p. 16 illus., 6 illus. in color., 1 Paperback / softback
  • Serija: SpringerBriefs in Cognition
  • Išleidimo metai: 27-Nov-2017
  • Leidėjas: Springer International Publishing AG
  • ISBN-10: 3319689894
  • ISBN-13: 9783319689890
Kitos knygos pagal šią temą:
This Brief offers a comprehensive and up-to-date overview of the current developments in the field of prospective memory, or memory for delayed intentions. It explores several key areas in prospective memory research, including computational modeling, neuroscience and prospective memory, output monitoring, and implementation intentions. It seeks to increase understanding of prospective memory as well as offer the latest and most compelling findings in the field.  

Prospective memory, or the act of remembering to carry out a previously formed intention, requires the processes of encoding, storage, and delayed retrieval of intended actions. Chapters in this Brief discuss the implementation and execution of intended actions, as well as the conditions in which they can fail. In addition, chapters also include reviews of the current state of the neuroscience of prospective memory as well as developments in statistical modeling. Laboratory research in the field of prospective memory began in the late 1980s and since then, the number of studies has increased exponentially. This Brief provides timely and relevant information in a field that is ever expanding and growing. 





This Brief is an informative resource for researchers and undergraduate and graduate students in the field of psychology, cognitive psychology, and neuroscience.

Recenzijos

This book containing a study on the state of art, meticulously prepared and presented in a very orderly, clear and concise on the subject. (Melio Sįenz, ResearchGate, researchgate.net, July 12, 2019)

1 Selected Topics in Prospective Memory
1(20)
1.1 The Challenge of Defining Prospective Memory
1(2)
1.2 Monitoring Versus Spontaneous Retrieval Processes
3(3)
1.3 Episodic Future Thinking
6(4)
1.4 Social Context and Prospective Memory
10(4)
1.5 Conclusion
14(7)
References
14(7)
2 The Cognitive Neuroscience of Realizing Delayed Intentions
21(20)
2.1 Neuroscience Approaches in Relation to Prospective Memory Processes
21(1)
2.2 PET and fMRI Studies of Prospective Memory
22(6)
2.3 Event-Related Potential (ERP) Signatures of PM
28(3)
2.4 From Data to Theory in the Neuroscience of PM
31(10)
References
36(5)
3 Characterization of Prospective Memory and Associated Processes
41(20)
3.1 Measurement and Modeling of PM
41(1)
3.2 Statistical Parameterization of Response Time (RT) Distributions
42(4)
3.3 Evidence Accumulation Models of Ongoing Task Performance
46(3)
3.4 Multinomial Processing Tree (MPT) Modeling of Prospective and Retrospective Processes
49(5)
3.5 A Computational Process Model of PM
54(3)
3.6 Conclusions
57(4)
References
57(4)
4 Output Monitoring of Intention Execution
61(20)
4.1 The Difficulty of Monitoring Our Own Behavior
61(1)
4.2 Prospective Memory Omission Errors as Reality Monitoring Errors
62(2)
4.3 Prospective Memory Commission Errors as Output Monitoring Errors
64(2)
4.4 Output Monitoring Errors and Aging
66(3)
4.5 The Influence of Habits on Commission Errors
69(2)
4.6 Preventing Omission and Commission Errors
71(1)
4.7 Output Monitoring in Real-Life Scenarios
72(3)
4.7.1 Medication Adherence
72(1)
4.7.2 Prospective Memory in Aviation
73(1)
4.7.3 Prospective Memory Interruptions
73(1)
4.7.4 Habit Capture
74(1)
4.7.5 Multitasking
75(1)
4.8 Conclusions
75(6)
References
76(5)
5 Implementation Intentions
81(18)
5.1 The Origins of Implementation Intentions
81(3)
5.2 Implementation Intentions and Prospective Memory
84(4)
5.3 Implementation Intentions and Automaticity
88(2)
5.4 What Is the Mechanism of Implementation Intentions?
90(3)
5.5 Conclusions
93(6)
References
95(4)
6 Afterword
99(2)
References 101(2)
Index 103
Anna-Lisa Cohen is an Associate Professor of Psychology at Yeshiva University in New York, New York. Her research is guided by an interest in the influence that future goals and intentions have on behavior.  She earned her Ph.D. in Psychology from the University of Victoria, Canada.  Her research informs the development of theoretical orientations for understanding the cognitive processes that support prospective memory.  For example, her research on the intention interference effect shows that cues related to a delayed intention are difficult to ignore when encountered in an unexpected context and this is true for both young and older adults.  An enduring theme in much of her research is the flexibility with which participants are able to engage and disengage monitoring processes depending on the nature of task demands. Jason L. Hicks is a Professor of Psychology at Louisiana State University in Baton Rouge, Louisiana. In1998 he earned his Ph.D. in Cognitive/Experimental Psychology from the University of Georgia. His research interests include source memory, recognition memory, false memory, and prospective memory (PM). He has published over 30 articles or book chapters on PM. His work focuses on encoding, retrieval, and contextual factors that predict successful intention retrieval. Perhaps the most programmatic contribution in this area is a specification of the cognitive resources demanded by prospective memory retrieval. His early work highlighted the degrees to which prospective memory retrieval requires executive resources, but more recent work demonstrates that people can flexibly allocate attention depending on their appreciation of the demands governing anticipated retrieval contexts.