sgns::neoswarm::reputation::WeightedConsensus

Selects the winning output from a set of node responses. More...

#include <weighted_consensus.hpp>

Public Classes

	Name
struct	Config

Public Types

	Name
enum class uint8_t	Strategy

Public Functions

	Name
	WeightedConsensus()
	WeightedConsensus(Config cfg)
NodeOutput	SelectWinner(const std::vector< NodeOutput > & outputs) const Select the winning output from a set of node outputs.

Detailed Description

class sgns::neoswarm::reputation::WeightedConsensus;

Selects the winning output from a set of node responses.

weight_i = reputation_i / (perplexity_i + ε)

Strategy A (WeightedVoting): select O_k maximising Σ weight_i × (O_i == O_k) Strategy B (BestWeightedScore): select O_i maximising weight_i

Public Types Documentation

enum Strategy

Enumerator	Value	Description
WeightedVoting	0
BestWeightedScore	1

Public Functions Documentation

function WeightedConsensus

WeightedConsensus()

function WeightedConsensus

explicit WeightedConsensus(
    Config cfg
)

function SelectWinner

NodeOutput SelectWinner(
    const std::vector< NodeOutput > & outputs
) const

Select the winning output from a set of node outputs.

Parameters:

• outputs Responses from all participating nodes.

Return: The winning NodeOutput (or the first if empty).

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Updated on 2026-07-25 at 22:56:56 +0000