Difference between revisions of "Trust"

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m (TiberiusB moved page On trust to Trust without leaving a redirect: Better to find from other pages )
 
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Role of trust in value  networks.  
 
Role of trust in value  networks.  
Reputation...  
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Trust can be placed in an [[agent]] - it is related to the ability to predict future actions of an [[agent]], which leads to relations of [[collaboration]] or [[cooperation]], to the creation of an environment conducive to transactions, including collaboration. In this case, we can model trust using game theory of repeated interactions. It is related to [[reputation]], which is a quality based on past behavior, requiring information about the past about the [[agent]]. In open and decentralized [[networks]] agents don’t initially know each other, or have anonymous digital identities – the network cannot rely on [[reputation]] but on ...
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Trust can be placed in a [[process]] - it is related to the ability to predict the output of the process based on the input into the process. The process can be a computer program.
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See [https://docs.google.com/document/d/1_krKf04VJja4iq1hcEcPs5gj63GQEIOfwzLkY54BZ1k/edit Sensorica document] for inspiration.
 
See [https://docs.google.com/document/d/1_krKf04VJja4iq1hcEcPs5gj63GQEIOfwzLkY54BZ1k/edit Sensorica document] for inspiration.

Latest revision as of 17:51, 31 March 2022

Role of trust in value networks.

Trust can be placed in an agent - it is related to the ability to predict future actions of an agent, which leads to relations of collaboration or cooperation, to the creation of an environment conducive to transactions, including collaboration. In this case, we can model trust using game theory of repeated interactions. It is related to reputation, which is a quality based on past behavior, requiring information about the past about the agent. In open and decentralized networks agents don’t initially know each other, or have anonymous digital identities – the network cannot rely on reputation but on ...


Trust can be placed in a process - it is related to the ability to predict the output of the process based on the input into the process. The process can be a computer program.



See Sensorica document for inspiration.