Mihnea Moldoveanu and Joel A.C. Baum
- Published in print:
- 2014
- Published Online:
- September 2014
- ISBN:
- 9780804777919
- eISBN:
- 9780804789455
- Item type:
- book
- Publisher:
- Stanford University Press
- DOI:
- 10.11126/stanford/9780804777919.001.0001
- Subject:
- Business and Management, Knowledge Management
What must human agents know about what other humans – with whom they are connected – know, in order for the resulting web of ties among them to function as a social network? The explanatory success ...
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What must human agents know about what other humans – with whom they are connected – know, in order for the resulting web of ties among them to function as a social network? The explanatory success of social network theories depends critically on assumptions about what agents know, what they know about what other agents with whom they are connected know, and the extent to which they trust what they and the others know. This book develops a method for representing these states of knowledge, awareness, ignorance, etc., jointly, epistemic states, and the epistemic ties connecting the epistemic states of agents in a social network to one another. What each agent knows of and about the others and their knowledge comprise an epistemic network, more compactly, epinet, a symbolic representation of the epistemic glue that underlies and shapes the interactions within a social network. The study of epinets permits development of new theory about the structure and dynamics of social networks, as well as of more precise measurement instruments and techniques for testing and validating the theory. The result is a toolkit for modeling, measuring, and manipulating the epistemic structures underlying human interaction in ways that are as accessible to social network analysts as they are engaging to logicians and epistemic game theorists.Less
What must human agents know about what other humans – with whom they are connected – know, in order for the resulting web of ties among them to function as a social network? The explanatory success of social network theories depends critically on assumptions about what agents know, what they know about what other agents with whom they are connected know, and the extent to which they trust what they and the others know. This book develops a method for representing these states of knowledge, awareness, ignorance, etc., jointly, epistemic states, and the epistemic ties connecting the epistemic states of agents in a social network to one another. What each agent knows of and about the others and their knowledge comprise an epistemic network, more compactly, epinet, a symbolic representation of the epistemic glue that underlies and shapes the interactions within a social network. The study of epinets permits development of new theory about the structure and dynamics of social networks, as well as of more precise measurement instruments and techniques for testing and validating the theory. The result is a toolkit for modeling, measuring, and manipulating the epistemic structures underlying human interaction in ways that are as accessible to social network analysts as they are engaging to logicians and epistemic game theorists.
Mihnea C. Moldoveanu and Joel A.C. Baum
- Published in print:
- 2014
- Published Online:
- September 2014
- ISBN:
- 9780804777919
- eISBN:
- 9780804789455
- Item type:
- chapter
- Publisher:
- Stanford University Press
- DOI:
- 10.11126/stanford/9780804777919.003.0001
- Subject:
- Business and Management, Knowledge Management
Using examples and unstructured intuitions that highlight the importance of knowledge, beliefs, and mutual beliefs to the outcomes of social situations and interpersonal relations, this chapter ...
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Using examples and unstructured intuitions that highlight the importance of knowledge, beliefs, and mutual beliefs to the outcomes of social situations and interpersonal relations, this chapter argues for the usefulness of epistemic models of human interactions and networks. The notions of an epistemic state – a link between individuals and propositions they may know or believe – and an epistemic tie among individuals – a link connecting individuals’ epistemic states to one another, are introduced. The chapter shows how the structure of epistemic networks formed by such links are relevant to the dynamics of human interactions, and how the dynamics of these networks are critical elements of complex interpersonal narratives.Less
Using examples and unstructured intuitions that highlight the importance of knowledge, beliefs, and mutual beliefs to the outcomes of social situations and interpersonal relations, this chapter argues for the usefulness of epistemic models of human interactions and networks. The notions of an epistemic state – a link between individuals and propositions they may know or believe – and an epistemic tie among individuals – a link connecting individuals’ epistemic states to one another, are introduced. The chapter shows how the structure of epistemic networks formed by such links are relevant to the dynamics of human interactions, and how the dynamics of these networks are critical elements of complex interpersonal narratives.
Mihnea C. Moldoveanu and Joel A.C. Baum
- Published in print:
- 2014
- Published Online:
- September 2014
- ISBN:
- 9780804777919
- eISBN:
- 9780804789455
- Item type:
- chapter
- Publisher:
- Stanford University Press
- DOI:
- 10.11126/stanford/9780804777919.003.0004
- Subject:
- Business and Management, Knowledge Management
This chapter analyzes the epistemic structure of trust in social networks. Trust is defined in terms of the epistemic states of networked agents, and a model of trust is advanced in which trust is ...
More
This chapter analyzes the epistemic structure of trust in social networks. Trust is defined in terms of the epistemic states of networked agents, and a model of trust is advanced in which trust is characterized as a form of confidence in the competence and integrity of another agent, wherein the trustful knows that the trusted would know a fact if that fact were true, and would say it if he or she knew it, is advanced and examined empirically. The approach is used to measure trust, and show how epistemically-defined trust relationships can function as safeguards for coordination and information flow in networks. This unpacking of trust permits exploration of the dark side of trust – how trust can be broken without appearing that way, as well as the interplay between breaches of trust in integrity and trust in competence.Less
This chapter analyzes the epistemic structure of trust in social networks. Trust is defined in terms of the epistemic states of networked agents, and a model of trust is advanced in which trust is characterized as a form of confidence in the competence and integrity of another agent, wherein the trustful knows that the trusted would know a fact if that fact were true, and would say it if he or she knew it, is advanced and examined empirically. The approach is used to measure trust, and show how epistemically-defined trust relationships can function as safeguards for coordination and information flow in networks. This unpacking of trust permits exploration of the dark side of trust – how trust can be broken without appearing that way, as well as the interplay between breaches of trust in integrity and trust in competence.
Mihnea C. Moldoveanu and Joel A.C. Baum
- Published in print:
- 2014
- Published Online:
- September 2014
- ISBN:
- 9780804777919
- eISBN:
- 9780804789455
- Item type:
- chapter
- Publisher:
- Stanford University Press
- DOI:
- 10.11126/stanford/9780804777919.003.0002
- Subject:
- Business and Management, Knowledge Management
This chapter introduces a modeling language for representing the epistemic states of networked human agents at both the individual and collective levels. The new ‘epistemic description language’, or ...
More
This chapter introduces a modeling language for representing the epistemic states of networked human agents at both the individual and collective levels. The new ‘epistemic description language’, or ‘EDL’, has a graphical component and a syntactical component. The language is used to articulate the relationships between individuals and their beliefs as elementary blocks of interactive epistemic networks. The chapter shows how epinets can be used to capture causally relevant states of social networks, and argue for the compilation of an epistemic description language for social interactions and networks.Less
This chapter introduces a modeling language for representing the epistemic states of networked human agents at both the individual and collective levels. The new ‘epistemic description language’, or ‘EDL’, has a graphical component and a syntactical component. The language is used to articulate the relationships between individuals and their beliefs as elementary blocks of interactive epistemic networks. The chapter shows how epinets can be used to capture causally relevant states of social networks, and argue for the compilation of an epistemic description language for social interactions and networks.
