Forage Resources

Apply foraging theory and ant colony optimization to systematically search for, evaluate, and exploit distributed resources — balancing exploration of unknown territory with exploitation of known yields.

When to Use

• Searching a large solution space where brute-force enumeration is impractical
• Balancing investment between exploring new approaches and deepening known good ones
• Optimizing resource allocation across multiple uncertain opportunities
• Designing search strategies for distributed teams or automated agents
• Diagnosing premature convergence (stuck on local optima) or perpetual wandering (never committing)
• Complementing coordinate-swarm with specific resource-discovery patterns

Inputs

• Required: Description of the resource being sought (information, compute, talent, solutions, opportunities)
• Required: Description of the search space (size, structure, known features)
• Optional: Current search strategy and its failure mode
• Optional: Number of available scouts/searchers