OR/MS
Distributed Discovery
collective search under dispersed information
Active research note
Defines the core objects and separates information quality from action allocation.
Active research note12 pages
Nakajima, Yohei (2026). Foundations of Distributed Discovery. Research note.
Read the build source · Inspect validation and provenance
scientific: valid-with-scope · editorial: active · publication: public-working-paper · lifecycle: active-research-note · no DOI · not submitted · not peer reviewed
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Translation layer
These formulations translate a canonical object without changing its scientific scope.
OR/MS
collective search under dispersed information
Economics / AGT
information and incentive design for portfolio search
Multi-agent AI
coordinating agent evidence into diverse task actions
Practitioner
turn what the group knows into a deliberate portfolio of attempts
OR/MS
an information-to-action allocation system
Economics / AGT
an information structure paired with a game or team decision rule
Multi-agent AI
an agent topology plus evidence action and reward interfaces
Practitioner
who sees what who does what and how success is credited
OR/MS
separate information state from action-allocation policy
Economics / AGT
distinguish experiment comparison from decentralized implementation
Multi-agent AI
distinguish better shared context from better joint action coverage
Practitioner
knowing the same thing does not decide who should try what