Definitionv1
Agent collaboration patterns: the structural blueprints that
Agent collaboration patterns: the structural blueprints that define how multiple agents — human, cognitive, or artificial — coordinate their work, with each pattern being a specific solution to a specific dependency structure
Why This Is a Definition
This definition explicitly names the term 'Agent collaboration patterns', states its genus as 'structural blueprints', and provides its differentia by explaining what they define (how multiple agents coordinate work) and how they function (specific solutions to dependency structures). It distinguishes these patterns from mere resource management and establishes their relationship to dependency structures.
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Defines (39)
AxiomExtended Cognition ThesisAxiomPatterns Exist in Hierarchical Logical LevelsAxiomBelief Perseverance Against Contradictory EvidenceAxiomAutomatic Pattern PerceptionAxiomPiagetian Equilibration Through Schema DynamicsAxiomExpert performance in complex domains requires deliberateAxiomNeural pathways that encode habits persist even after theAxiomDefault options determine behavior more reliably thanAxiomHuman cognition operates through schemas — structuredPrincipleCreate a ready-to-resume plan before any task switch byPrincipleShift validation questions from future-conditional ('whatPrincipleApply the same tags to notes from different domains whenPrincipleUse version history to identify beliefs that have revisedPrincipleProcess inbox items in two distinct passes—first clarifyingPrincipleApply the two-minute completion rule only during dedicatedPrincipleRoute work to the appropriate agent—human, system, tool, orPrinciplePre-commit each day's attention allocation by deciding yourPrincipleWhen designing cognitive agents, examine the full patternPrincipleIdentify and eliminate shared dependencies across multiplePrincipleRetire cognitive agents based on current value productionPrincipleBlock your measured peak attention hours on your calendar asPrincipleUse the 'five whys' technique on any significant energyPrinciplePrioritize controllable cue types (time, location, precedingPrincipleDesign experiments to produce intelligent failures—small,PrincipleDesign habits with flexible execution parameters (timePrincipleIdentify and reduce context dependencies in important habitsPrincipleIdentify your internal working models by tracking emotionalPrinciplePeriodically surface process schemas by extracting embeddedPrincipleDesign organizational structures that separate purposePrincipleUse satisficing decision rules (define 'good enough'PrincipleBefore proposing the removal of any inherited system,PrincipleDesign physical and digital workspaces to afford only thePrincipleDocument not only what tools you use but the completePrincipleDesign AI prompts to explicitly frame the task context,PrincipleMeasure the quality of any personal development practice byPrincipleDesign systems based on Theory Y assumptions (people seekPrincipleVerify that integrated frameworks generate novel predictionsPrincipleAlign the mental models underlying different agents'PrincipleSpecify every delegation with five components: concrete