diversity-maximization

name	diversity-maximization
description	Maximize portfolio diversity and coverage using MAP-Elites, Niche coverage, Maximum dispersion, and Anti-clustering methods.
dependencies	{"tactics":["niche-coverage-analysis","pareto-frontier-construction"],"sops":["coverage-scoring","niche-definition","niche-mapping","objective-definition"]}

Diversity Maximization

Purpose

Select a portfolio that maximizes coverage across the solution space, avoiding redundancy and ensuring representation of distinct approaches, domains, or capabilities.

When to use

• Redundancy between candidates is a concern
• Coverage of different niches or capabilities matters
• Innovation portfolio needs variety of approaches
• Hedging through diversity rather than risk modeling

Budget

Dimension	Target
Candidates evaluated	8-20
Niches defined	4-10
Diversity dimensions	2-5
Coverage threshold	>=80% of defined niches

State Ledger

Field	Type	Description
candidates	list	All candidates with feature vectors
niches	list	Defined niches or capability areas
coverage_map	matrix	Which candidates cover which niches
diversity_score	number	Aggregate diversity metric
gaps	list	Uncovered or under-covered niches

Available Tactics

Tactic	When
niche-coverage-analysis	Need to map and score coverage systematically
pareto-frontier-construction	Trading off diversity against cost or value

Available SOPs

SOP	Purpose
niche-definition	Define the niches to cover
niche-mapping	Map candidates to niches
coverage-scoring	Score how well portfolio covers space
objective-definition	Define diversity objectives formally

Execution Guidance

1. Define the diversity dimensions and niches via niche-definition
2. Map all candidates to niches via niche-mapping
3. Score current coverage and identify gaps via coverage-scoring
4. Select portfolio that maximizes coverage while respecting constraints
5. If value also matters, use pareto-frontier-construction to trade off

Output Format

strategy: diversity-maximization
selected_portfolio:
  - candidate: <name>
    niches_covered: [<niche1>, <niche2>]
coverage_score: <0-1>
redundancy_score: <0-1>
gaps_remaining:
  - niche: <name>
    severity: <high|medium|low>
method_used: <MAP-Elites|niche-coverage|max-dispersion>

Available Tactics

Optional, no fixed order; the final leaf is always a sop.

Tactic	When to use
niche-coverage-analysis	Define niches within the solution space, map candidates to niches, score coverage completeness, and identify gaps requiring attention.
pareto-frontier-construction	Build the Pareto frontier from multi-objective optimization, visualize trade-offs, and select a portfolio from non-dominated solutions.

Available SOPs

Optional, no fixed order; the final leaf is always a sop.

SOP	When to use
coverage-scoring	Compute coverage completeness, redundancy, and gap severity scores from a coverage map.
niche-definition	Define niches and capability areas that a portfolio should cover based on domain structure and objectives.
niche-mapping	Map each candidate to the niches it covers, indicating strength of coverage for each assignment.
objective-definition	Define optimization objectives, constraints, and trade-off preferences from context and candidate information.