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Books on the topic 'Information behaviour model'

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Published: 4 June 2021
Last updated: 31 January 2023

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1

Howell, Syd. Investor timing behaviour under imperfect timing information in the factor model. Manchester: Manchester Business School, 1992.

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2

Hosfield, Robert. The palaeolithic of the Hampshire Basin: A regional model of hominid behaviour during the Middle Pleistocene. Oxford: Archaeopress, 1999.

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3

Vellakkal, Sukumar. Adverse selection and private health insurance coverage in India: A rational behaviour model of insurance agents under asymmetric information. New Delhi: Indian Council for Research on International Economic Relations, 2009.

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4

Ellis, David B. The derivation of a behavioural model for information retrieval system design. Ann Arbor, Mich: University Microfilms International, 1987.

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5

Kontiainen, Seppo. Integrating information in conceptual models: Use of an information structure in building conceptual models for behavioural studies. Helsinki: Dept. of Education, University of Helsinki, 1989.

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6

He, Hua. Differential information and dynamic behavior of stock trading volume. Cambridge, MA: National Bureau of Economic Research, 1995.

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7

A, Stein Judith, and Kean Thomas J, eds. Searching for health information: The Cancer Information Service model. Philadelphia: University of Pennsylvania Press, 1989.

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8

Hastings, Justine S. Preferences, information, and parental choice behavior in public school choice. Cambridge, Mass: National Bureau of Economic Research, 2007.

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9

Hastings, Justine S. Preferences, information, and parental choice behavior in public school choice. Cambridge, MA: National Bureau of Economic Research, 2007.

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10

Gabaix, Xavier. Shrouded attributes, consumer myopia, and information suppression in competitive markets. Cambridge, MA: National Bureau of Economic Research, 2005.

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11

Gabaix, Xavier. Shrouded attributes, consumer myopia, and information suppression in competitive markets. Cambridge, Mass: National Bureau of Economic Research, 2005.

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12

Bittlingmayer, George. Consumer information and minimum retail prices. Berlin: Wissenschaftszentrum Berlin für Sozialforschung, 1987.

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13

Grigorev, Anatoliy. Methods and algorithms of data processing. ru: INFRA-M Academic Publishing LLC., 2017. http://dx.doi.org/10.12737/22119.

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In this manual some methods and algorithms of data processing, the sequence of the solution of problems of processing and the analysis of data for creation of behavior model of an object taking into account all a component of his mathematical model are considered. Types of technological methods of use of software and hardware for the solution of tasks in this area are described. Algorithms of distributions, regressions of temporary ranks, their transformation for the purpose of receiving mathematical models and the forecast of behavior of information and economic systems (objects) are considered. Conforms to requirements of the Federal state educational standard of the higher education of the last generation. For students of economic specialties, experts, graduate students.
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14

Hendricks, Kenneth. Information spillovers in the market for recorded music. Cambridge, Mass: National Bureau of Economic Research, 2006.

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15

Gabaix, Xavier. Shrouded attributes, consumer myopia, and information suppression in competitive markets. Cambridge, MA: Massachusetts Institute of Technology, Dept. of Economics, 2005.

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16

Gabaix, Xavier. Shroud attributes, consumer myopia, and information suppression in competitive markets. Cambridge, MA: Massachusetts Institute of Technology, Dept. of Economics, 2005.

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17

Chaotic dynamics applied to biological information processing. Berlin: Akademie-Verlag, 1987.

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18

Nicolis, J. Chaotic dynamics applied to biological information processing. Berlin: Akademie-Verlag, 1987.

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19

Grigor'ev, Anatoliy, and Evgeniy Isaev. Methods and algorithms of data processing. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1032305.

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The tutorial deals with selected methods and algorithms of data processing, the sequence of solving problems of processing and analysis of data to create models behavior of the object taking into account all the components of its mathematical model. Describes the types of technological methods for the use of software and hardware for solving problems in this area. The algorithms of distributions, regressions vremenny series, transform them with the aim of obtaining mathematical models and prediction of the behavior information and economic systems (objects). The second edition is supplemented by materials that are in demand by researchers in the part of the correct use of clustering algorithms. Are elements of the classification algorithms to identify their capabilities, strengths and weaknesses. Are the procedures of justification and verify the adequacy of the results of the cluster analysis, conducted a comparison and evaluation of different clustering techniques, given information about visualization of multidimensional data and examples of practical application of clustering algorithms. Meets the requirements of Federal state educational standards of higher education of the last generation. For students of economic specialties, specialists, and graduate students.
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20

Next generation search engines: Advanced models for information retrieval. Hershey PA: Information Science Reference, 2012.

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21

Espejo, Raul. Organizational Systems: Managing Complexity with the Viable System Model. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2011.

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22

Brown, Laura. Integration models: Templates for business transformation. [Indianapolis, IN]: Sams, 2000.

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23

1951-, Honkapohja Seppo, ed. Information and incentives in organizations. Oxford, UK: B. Blackwell, 1989.

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24

Greenwald, Bruce C. N. Asymmetric information and the new theory of the firm: Financial constraints and risk behavior. Cambridge, MA: National Bureau of Economic Research, 1990.

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25

Ladislav, Kohout, and Bandler Wyllis, eds. Knowledge representation in medicine and clinical behavioural science. Cambridge, Mass: Abacus Press, 1986.

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26

Korajczyk, Robert A. Understanding stock price behavior around the time of equity issues. Cambridge, MA: National Bureau of Economic Research, 1989.

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27

A, Roth Resa, ed. Exploratory search: Beyond the query-response paradigm. San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA): Morgan & Claypool Publishers, 2009.

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28

Otterlo, Martijn van. The logic of adaptive behavior: Knowledge representation and algorithms for adaptive sequential decision making under uncertainty in first-order and relational domains. Amsterdam: Ios Press, 2009.

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29

Otterlo, Martijn van. The logic of adaptive behavior: Knowledge representation and algorithms for adaptive sequential decision making under uncertainty in first-order and relational domains. Amsterdam: Ios Press, 2009.

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30

Chernew, Michael. Learning and the value of information: The case of health plan report cards. Cambridge, MA: National Bureau of Economic Research, 2001.

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31

Jay, Yang Shanchieh, Nau Dana S, Chai Sun-Ki, and SpringerLink (Online service), eds. Social Computing, Behavioral-Cultural Modeling and Prediction: 4th International Conference, SBP 2011, College Park, MD, USA, March 29-31, 2011. Proceedings. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011.

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32

Krivoyekov, Syergyey, and Roman Ayzman. Psychophysiology. ru: INFRA-M Academic Publishing LLC., 2015. http://dx.doi.org/10.12737/10884.

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Psychophysiology — the science studying interrelation of mentality of the person and physiological processes. Fundamental knowledge of work of a brain, first of all, of nervous regulation of functions of an organism, the general and specific features of the highest falls within the scope of its interests nervous activity, the defining character and behavior of the person, psychophysiological mechanisms of regulation of functional states. In the book neurophysiological bases of coding and information processing in nervous system, neural mechanisms of feelings, perceptions, memories, training, motivations and emotions, thinking and the speech, attention, consciousness, behavior, mental activity are stated. Separate the section is devoted to physiological bases of mental changes at various functional, extreme and pathophysiological states (a stress, post-stressful frustration, addiktivny states, depressions, etc.) and to ways of their correction. Authors tried to pay special attention to disclosure of specifics of psychophysiology of the person, to difference of physiological mechanisms of regulation of mental functions of the person in comparison with model researches on animals. For simplification of work on discipline and the best digestion of material the textbook is supplied with the glossary. For students, undergraduates, graduate students and teachers of psychological and medical faculties of higher education institutions.
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33

Esposito, Anna. Cognitive Behavioural Systems: COST 2102 International Training School, Dresden, Germany, February 21-26, 2011, Revised Selected Papers. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

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34

Adverse selection and private health insurance coverage in India: A rational behaviour model of insurance agents under asymmetric information. New Delhi: Indian Council for Research on International Economic Relations, 2009.

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35

Sillence, Elizabeth, and Pam Briggs. Examining the role of the Internet in health behaviour. Edited by Adam N. Joinson, Katelyn Y. A. McKenna, Tom Postmes, and Ulf-Dietrich Reips. Oxford University Press, 2012. http://dx.doi.org/10.1093/oxfordhb/9780199561803.013.0022.

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This article explores the role of the Internet in health behaviour, with particular emphasis on the issue of trust and trusting behaviours, as this is seen as key to determining the impact of the Internet on health outcomes. It is organized as follows. The first section discusses the role of the Internet in the context of health information and advice, exploring broader issues such as user motivation and outcomes in terms of perceived health benefits, as well as interactions with healthcare professionals. The article then goes on to examine the types of health websites available, and explores issues of advice and information quality. The following section examines the context of trust in relation to online health advice and information, and presents a staged model of trust that helps reconcile differences in the literature. The last section presents a validation of the staged model through in-depth, longitudinal qualitative work.
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36

Azzopardi, Leif, and Guido Zuccon. Economic Models of Interaction. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198799603.003.0012.

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This chapter provides a tutorial on how economics can be used to model the interaction between users and systems. Economic theory provides an intuitive and natural way to model Human-Computer Interaction which enables the prediction and explanation of user behaviour. A central tenet of the approach is the utility maximisation paradigm where it is assumed that users seek to maximise their profit/benefit subject to budget and other constraints when interacting with a system. By using such models it is possible to reason about user behaviour and make predictions about how changes to the interface or the users interactions will affect performance and behaviour. In this chapter, we describe and develop several economic models relating to how users search for information. While the examples are specific to Information Seeking and Retrieval, the techniques employed can be applied more generally to other human-computer interaction scenarios. Therefore, the goal of this chapter is to provide an introduction and overview of how to build economic models of human-computer interaction that generate testable hypotheses regarding user behaviour which can be used to guide design and inform experimentation.
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37

K, Chelton Mary, and Cool Colleen 1952-, eds. Youth information-seeking behavior: Theories, models, and issues. Lanham, Md: Scarecrow Press, 2004.

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38

Chelton, Mary K. Youth Information-seeking Behavior: Theories, Models, And Issues. Tandem Library, 2004.

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39

K, Chelton Mary. Youth Information Seeking Behavior: Theories, Models, and Issues. The Scarecrow Press, Inc., 2004.

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40

Troisi, Alfonso. Nonverbal Communication. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780199393404.003.0007.

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Humans use two different means to exchange information: language and nonverbal communication. Often nonverbal signals emphasize and specify what is being said with words. Yet sometimes they collide, and the words are contradicted by what seeps through facial expression, gesture, and posture. This chapter discusses two theoretical frameworks for studying these nonverbal behaviors. The first approach (the emotional model) aims at unveiling the emotional state from facial expression and gesture. The second approach (the behavioral ecology model) analyzes the social meaning of nonverbal behavior, regardless of the emotional state of the sender of nonverbal signals. The two models are not incompatible and can be integrated to study nonverbal behavior. Yet, the behavioral ecology model explains some findings that are not accounted for by the emotional model. The final part of the chapter deals with neuropsychiatric conditions, such as Williams syndrome and prosopagnosia, that alter the encoding and decoding of nonverbal signals. The impact of these conditions on real-life social behavior can be dramatic, which shows the adaptive relevance of nonverbal communication.
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41

Wyatt, Tristram D. 7. The wisdom of crowds. Oxford University Press, 2017. http://dx.doi.org/10.1093/actrade/9780198712152.003.0007.

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Recent work on collective animal behaviour shows that relatively simple behaviours by each animal acting individually can together produce complex, emergent behaviours larger than the parts. This self-organization occurs despite the limited cognitive abilities of individual animals and despite each animal’s limited access to global information, or the ‘big picture’. ‘The wisdom of crowds’ explains this phenomenon termed swarm intelligence by considering the murmurations of starlings, schools of fish, ant trails, and termite nest-building. The behaviour of individual animals and the rules of interaction, from which the collective behaviours emerge, have evolved under natural selection just like other behaviours. The application of such self-organization models is also discussed.
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42

K, Chelton Mary, and Cool Colleen 1952-, eds. Youth information-seeking behavior II: Context, theories, models, and issues. Lanham, Md: Scarecrow Press, 2007.

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43

Newman, Mark. Epidemics on networks. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198805090.003.0016.

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This chapter discusses the spread of diseases over contact networks between individuals and the methods used to model this process. The chapter begins with an introduction to the classic models of mathematical epidemiology, including the SI model, the SIR model, and the SIS model. Models for coinfection and competition between diseases are also discussed, as well as “complex contagion” models used to represent the spread of information. The remainder of the chapter deals with the behavior of these models on networks, where the behavior of spreading diseases depends strongly on network structure. It is shown that the SIR model maps to a bond percolation process on networks, allowing us to solve for static properties such as the total number of individuals infected in a disease outbreak. The case of the configuration model is developed in detail and the calculations are extended to competing diseases, coinfection, and complex contagion. Time-dependent behavior of diseases on networks is also studied using various differential equation approximations, including pair approximations and degree-based approximations.
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44

K, Chelton Mary. Youth Information Seeking Behavior II: Context, Theories, Models, and Issues. The Scarecrow Press, Inc., 2006.

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45

Cool, Colleen, and Mary K. Chelton. Youth Information-seeking Behavior II: Context, Theories, Models, and Issues. Scarecrow Press, Incorporated, 2007.

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46

Mandeville, Anna L. Non-pharmacological methods of acute pain management. Oxford University Press, 2011. http://dx.doi.org/10.1093/med/9780199234721.003.0003.

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Psychological factors are a key part of pain perception as articulated in the neuromatrix model of pain. Psychoeducational interventions are of significant value in acute pain management and have reduced pain severity, distress, and length of hospital stay. Mood, beliefs about pain and illness, previous experience of pain, and the behaviour of health care professionals all influence pain perception and response to pain. Helping patients reappraise the threat value of pain through tailored information giving and where needed cognitive behavioural interventions are practical strategies. Attention control methods, including clinical hypnosis, are effective in reducing procedural pain.
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47

Stein, Judith A., Thomas J. Kean, and Vicki S. Freimuth. Searching for Health Information: The Cancer Information Service Model. University of Pennsylvania Press, 2018.

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48

Maruska, Karen P., and Russell D. Fernald. Social Regulation of Gene Expression in the African Cichlid Fish. Edited by Turhan Canli. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199753888.013.012.

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How does an animal’s social environment shape its behavior and physiology, and what underlying molecular and genetic mechanisms lead to phenotypic changes? To address this question, the authors used a model system that exhibits socially regulated plastic phenotypes, behavioral complexity, molecular level access, and genomic resources. The African cichlid fishAstatotilapia burtoni, in which male status and reproductive physiology are under social control, has become an important model for studying the mechanisms that regulate complex social behaviors. This chapter reviews what is known about how information from the social environment produces changes in behavior, physiology, and gene expression profiles in the brain and reproductive axis ofA. burtoni. Understanding the mechanisms responsible for translating perception of social cues into molecular change in a model vertebrate is important for identifying selective pressures and evolutionary mechanisms that shape the brain and ultimately result in diverse and complex social behaviors.
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49

Youth information-seeking behaviors II: Context, theories, models, and issues. Lanham, MD: Scarecrow Press, 2005.

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50

Hangauer, Jason, Jonathan Worcester, and Kathleen Hague Armstrong. Models and Methods of Assessing Adaptive Behavior. Edited by Donald H. Saklofske, Cecil R. Reynolds, and Vicki Schwean. Oxford University Press, 2013. http://dx.doi.org/10.1093/oxfordhb/9780199796304.013.0027.

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This chapter will summarize contemporary models and methods used for the assessment of adaptive behavior functioning in children and adolescents. This chapter will also emphasize how to best use such assessment information for diagnostic and eligibility purposes and in developing interventions and support plans. We will review the use of traditional, norm-referenced adaptive behavior assessment tools as well as what will be referred to as “supplemental methods,” including the direct observation of adaptive skill functioning. The assessment of adaptive behavior with respect to developmental expectations, cultural expectations, systems of care, and legislation will also be discussed. Lastly, case studies will be presented to illustrate the usefulness of these methods in assessing individuals and planning effective interventions and services.
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