Token Engineering Canvas + Agent Behaviour Map
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Token Engineering Canvas Project Name: Project Collaborators: Agent Behaviour MapThe ABP is used in relation to TEC creating depth of analysis by synthesysing scenarios to each objectives and constrains to deliver fine-tuned approach. This will be extended with AI driven analytics.
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Cheat Sheet for #tokenengineering by @nembal & @dimitridejonghe Token Patterns ↓ Agent specific
behaviours ↓
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more at: http://tokenengineering.net
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Objective:
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answer the question: What does the platform wants to incentivise?
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circle the appropriate Description12345678910111213 ← Token Patterns ↓
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Ob. / Co.11
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Ob. / Co.22
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Ob. / Co.33
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Ob. / Co.44
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Ob. / Co.55
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Ob. / Co.66
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Ob. / Co.77
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Ob. / Co.88
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Ob. / Co.99
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Ob. / Co.1010
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Ob. / Co.1111
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Ob. / Co.1212
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Ob. / Co.1313
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Step 1Find the objective Formulate the goal (problem) of the platform by answering the question of what this platform wants to incentivizeStep 3List all agents possible in the analyzed pattern Include BAR (Byzantine, Altruistic, Rational) variants of agents for full scope. (for simplicity use worst case scenario only)
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Step 2Try already existing patternsFix objectives (Ob.), constraints (Co.), utility (Ut.) and attacks (At.) - As many as possible then reduce the number to the most important ones. Keep adding extra ones as some might only come to mind at a later stage" Step 4Agents important for the pattern should be marked with ✓ One type of agents can be part of multiple patterns. Already listed agents that are not participating in the given patterns should receive a blank cell signalling that they are not parts of the given system.
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Step 2.bElaborate on the basic patternsFind out if it fulfils all predetermined objectives and constrains by quickly going through in a mind-game like session. Use ✓/✕ to keep track of ideasStep 5Repeat Steps 1; 2; 2.b; 3; 4;Do it until the final pattern with agent requirements fulfil the general objective of the project.
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