ruv-swarm
Version:
High-performance neural network swarm orchestration in WebAssembly
1,363 lines (1,180 loc) • 41.5 kB
JavaScript
/**
* Neural Coordination Protocol
* Enables sophisticated coordination between neural network agents
*/
class NeuralCoordinationProtocol {
constructor() {
this.activeSessions = new Map();
this.coordinationStrategies = new Map();
this.communicationChannels = new Map();
this.consensusProtocols = new Map();
this.coordinationResults = new Map();
this.coordinationMetrics = new Map();
// Initialize coordination strategies
this.initializeCoordinationStrategies();
// Initialize consensus protocols
this.initializeConsensusProtocols();
}
/**
* Initialize coordination strategies
*/
initializeCoordinationStrategies() {
// Hierarchical Coordination
this.coordinationStrategies.set('hierarchical', {
name: 'Hierarchical Coordination',
description: 'Leader-follower structure with centralized decision making',
structure: 'tree',
characteristics: {
leadershipType: 'single_leader',
decisionFlow: 'top_down',
communicationPattern: 'star',
consensusRequired: false,
scalability: 0.7,
robustness: 0.6,
},
parameters: {
leaderSelectionCriteria: 'performance',
maxHierarchyDepth: 3,
commandPropagationDelay: 100,
leaderRotationInterval: 3600000, // 1 hour
},
});
// Peer-to-Peer Coordination
this.coordinationStrategies.set('peer_to_peer', {
name: 'Peer-to-Peer Coordination',
description: 'Decentralized coordination with equal agent status',
structure: 'mesh',
characteristics: {
leadershipType: 'distributed',
decisionFlow: 'lateral',
communicationPattern: 'mesh',
consensusRequired: true,
scalability: 0.8,
robustness: 0.9,
},
parameters: {
consensusThreshold: 0.66,
communicationTimeout: 5000,
maxNegotiationRounds: 10,
conflictResolutionMethod: 'voting',
},
});
// Swarm Coordination
this.coordinationStrategies.set('swarm', {
name: 'Swarm Coordination',
description: 'Emergent coordination through local interactions',
structure: 'dynamic',
characteristics: {
leadershipType: 'emergent',
decisionFlow: 'emergent',
communicationPattern: 'local_neighborhood',
consensusRequired: false,
scalability: 0.9,
robustness: 0.8,
},
parameters: {
neighborhoodRadius: 3,
influenceDecayRate: 0.9,
emergenceThreshold: 0.75,
adaptationRate: 0.1,
},
});
// Market-Based Coordination
this.coordinationStrategies.set('market_based', {
name: 'Market-Based Coordination',
description: 'Economic auction-based task allocation',
structure: 'auction',
characteristics: {
leadershipType: 'auctioneer',
decisionFlow: 'bidding',
communicationPattern: 'broadcast_bidding',
consensusRequired: false,
scalability: 0.8,
robustness: 0.7,
},
parameters: {
auctionType: 'first_price_sealed_bid',
biddingTimeout: 3000,
reservePrice: 0.1,
profitSharingRatio: 0.8,
},
});
// Contract Net Coordination
this.coordinationStrategies.set('contract_net', {
name: 'Contract Net Protocol',
description: 'Task announcement and bidding system',
structure: 'contract',
characteristics: {
leadershipType: 'task_specific',
decisionFlow: 'contract_based',
communicationPattern: 'announcement_bidding',
consensusRequired: false,
scalability: 0.75,
robustness: 0.8,
},
parameters: {
taskAnnouncementDelay: 1000,
biddingPeriod: 5000,
contractDuration: 300000, // 5 minutes
performanceEvaluationInterval: 60000,
},
});
// Blackboard Coordination
this.coordinationStrategies.set('blackboard', {
name: 'Blackboard System',
description: 'Shared knowledge space for coordination',
structure: 'shared_memory',
characteristics: {
leadershipType: 'knowledge_driven',
decisionFlow: 'opportunistic',
communicationPattern: 'publish_subscribe',
consensusRequired: false,
scalability: 0.6,
robustness: 0.7,
},
parameters: {
blackboardSize: 1000,
knowledgeExpirationTime: 600000, // 10 minutes
priorityQueueSize: 100,
triggerThreshold: 0.7,
},
});
// Multi-Agent Reinforcement Learning Coordination
this.coordinationStrategies.set('marl', {
name: 'Multi-Agent Reinforcement Learning',
description: 'Learning-based coordination through shared rewards',
structure: 'learning',
characteristics: {
leadershipType: 'learned',
decisionFlow: 'policy_based',
communicationPattern: 'learned_communication',
consensusRequired: false,
scalability: 0.8,
robustness: 0.8,
},
parameters: {
learningRate: 0.001,
explorationRate: 0.1,
rewardSharingRatio: 0.5,
communicationBandwidth: 64,
},
});
// Byzantine Fault Tolerant Coordination
this.coordinationStrategies.set('byzantine_ft', {
name: 'Byzantine Fault Tolerant',
description: 'Coordination robust to malicious or faulty agents',
structure: 'fault_tolerant',
characteristics: {
leadershipType: 'rotating_committee',
decisionFlow: 'byzantine_consensus',
communicationPattern: 'authenticated_broadcast',
consensusRequired: true,
scalability: 0.5,
robustness: 0.95,
},
parameters: {
faultTolerance: 0.33, // Can tolerate up to 1/3 faulty agents
viewChangeTimeout: 10000,
messageAuthenticationRequired: true,
committeeSize: 7,
},
});
}
/**
* Initialize consensus protocols
*/
initializeConsensusProtocols() {
// Proof of Stake Consensus
this.consensusProtocols.set('proof_of_stake', {
name: 'Proof of Stake',
description: 'Consensus based on agent performance stake',
parameters: {
stakingPeriod: 3600000, // 1 hour
minimumStake: 0.1,
slashingPenalty: 0.05,
rewardDistribution: 'proportional',
},
applicability: {
trustRequired: 0.7,
performanceWeight: 0.9,
energyEfficiency: 0.9,
},
});
// Practical Byzantine Fault Tolerance
this.consensusProtocols.set('pbft', {
name: 'Practical Byzantine Fault Tolerance',
description: 'Byzantine consensus for unreliable environments',
parameters: {
phaseTimeout: 5000,
viewChangeTimeout: 10000,
checkpointInterval: 100,
maxFaultyNodes: 0.33,
},
applicability: {
trustRequired: 0.3,
performanceWeight: 0.6,
energyEfficiency: 0.4,
},
});
// Raft Consensus
this.consensusProtocols.set('raft', {
name: 'Raft Consensus',
description: 'Leader-based consensus for crash-fault tolerance',
parameters: {
electionTimeout: 5000,
heartbeatInterval: 1000,
logReplicationBatchSize: 10,
leaderElectionBackoff: 1.5,
},
applicability: {
trustRequired: 0.8,
performanceWeight: 0.8,
energyEfficiency: 0.7,
},
});
// Gossip Protocol
this.consensusProtocols.set('gossip', {
name: 'Gossip Protocol',
description: 'Probabilistic information dissemination',
parameters: {
gossipRounds: 10,
gossipFanout: 3,
gossipInterval: 1000,
convergenceThreshold: 0.95,
},
applicability: {
trustRequired: 0.9,
performanceWeight: 0.5,
energyEfficiency: 0.8,
},
});
}
/**
* Register agent with coordination protocol
* @param {string} agentId - Agent identifier
* @param {Object} agent - Agent instance
*/
async registerAgent(agentId, agent) {
const agentInfo = {
id: agentId,
agent,
capabilities: this.analyzeAgentCapabilities(agent),
trustScore: 1.0,
performanceHistory: [],
communicationChannels: new Set(),
coordinationRole: 'peer',
lastHeartbeat: Date.now(),
status: 'active',
};
// Initialize communication channels for this agent
if (!this.communicationChannels.has(agentId)) {
this.communicationChannels.set(agentId, new Map());
}
// Initialize coordination metrics
this.coordinationMetrics.set(agentId, {
messagesExchanged: 0,
consensusParticipation: 0,
coordinationSuccessRate: 1.0,
averageResponseTime: 0,
lastUpdate: Date.now(),
});
console.log(`Registered agent ${agentId} with coordination protocol`);
return agentInfo;
}
/**
* Analyze agent capabilities for coordination
* @param {Object} agent - Agent instance
*/
analyzeAgentCapabilities(agent) {
const capabilities = {
communicationBandwidth: 1000, // Default bandwidth
processingPower: 1.0,
memoryCapacity: 1.0,
specializations: [],
reliability: 1.0,
latency: 100, // Default latency in ms
coordinationExperience: 0,
};
// Analyze based on agent type and configuration
if (agent.modelType) {
switch (agent.modelType) {
case 'transformer':
case 'lstm':
case 'gru':
capabilities.specializations.push('sequence_processing', 'language_understanding');
capabilities.processingPower = 0.9;
break;
case 'cnn':
case 'resnet':
capabilities.specializations.push('image_processing', 'pattern_recognition');
capabilities.processingPower = 0.8;
break;
case 'gnn':
case 'gat':
capabilities.specializations.push('graph_analysis', 'relationship_modeling');
capabilities.processingPower = 0.7;
break;
case 'diffusion_model':
case 'vae':
capabilities.specializations.push('generation', 'creativity');
capabilities.processingPower = 0.6;
break;
}
}
// Estimate performance based on metrics
if (agent.getMetrics) {
const metrics = agent.getMetrics();
capabilities.reliability = Math.min(1, metrics.accuracy || 0.8);
capabilities.coordinationExperience = metrics.epochsTrained / 100 || 0;
}
return capabilities;
}
/**
* Initialize coordination session
* @param {Object} session - Session configuration
*/
async initializeSession(session) {
const sessionId = session.id;
// Select optimal coordination strategy
const strategy = this.selectCoordinationStrategy(session);
// Select consensus protocol if needed
const consensusProtocol = strategy.characteristics.consensusRequired
? this.selectConsensusProtocol(session, strategy)
: null;
const coordinationSession = {
...session,
strategy,
consensusProtocol,
communicationGraph: this.buildCommunicationGraph(session.agentIds, strategy),
coordinationState: 'initializing',
startTime: Date.now(),
messageQueue: new Map(),
consensusRounds: 0,
coordinationEvents: [],
};
this.activeSessions.set(sessionId, coordinationSession);
// Initialize communication channels for session
await this.initializeCommunicationChannels(coordinationSession);
console.log(`Initialized coordination session ${sessionId} with strategy: ${strategy.name}`);
return coordinationSession;
}
/**
* Select optimal coordination strategy for session
* @param {Object} session - Session configuration
*/
selectCoordinationStrategy(session) {
const agentCount = session.agentIds.length;
const trustLevel = this.calculateSessionTrustLevel(session);
const taskComplexity = this.estimateTaskComplexity(session);
let bestStrategy = null;
let bestScore = 0;
for (const [strategyName, strategy] of this.coordinationStrategies.entries()) {
let score = 0;
// Score based on agent count and scalability
const scalabilityScore = this.calculateScalabilityScore(agentCount, strategy.characteristics.scalability);
score += scalabilityScore * 0.3;
// Score based on trust level and robustness requirements
if (trustLevel < 0.7 && strategy.characteristics.robustness > 0.8) {
score += 0.2;
}
// Score based on task complexity
if (taskComplexity > 0.7) {
if (strategy.characteristics.decisionFlow === 'lateral' || strategy.characteristics.decisionFlow === 'emergent') {
score += 0.2;
}
} else {
if (strategy.characteristics.decisionFlow === 'top_down') {
score += 0.15;
}
}
// Prefer consensus-based strategies for heterogeneous agents
if (this.isHeterogeneousSession(session) && strategy.characteristics.consensusRequired) {
score += 0.1;
}
// Performance-based preferences
if (session.strategy === 'parallel' && strategy.characteristics.communicationPattern === 'mesh') {
score += 0.15;
}
if (score > bestScore) {
bestScore = score;
bestStrategy = strategy;
}
}
return bestStrategy || this.coordinationStrategies.get('peer_to_peer');
}
/**
* Calculate scalability score for agent count
* @param {number} agentCount - Number of agents
* @param {number} strategyScalability - Strategy scalability factor
*/
calculateScalabilityScore(agentCount, strategyScalability) {
const optimalRange = strategyScalability * 10; // Optimal agent count for strategy
const deviation = Math.abs(agentCount - optimalRange) / optimalRange;
return Math.max(0, 1 - deviation);
}
/**
* Calculate session trust level
* @param {Object} session - Session configuration
*/
calculateSessionTrustLevel(session) {
if (!session.agentIds || session.agentIds.length === 0) {
return 1.0;
}
let totalTrust = 0;
let agentCount = 0;
for (const agentId of session.agentIds) {
const metrics = this.coordinationMetrics.get(agentId);
if (metrics) {
totalTrust += metrics.coordinationSuccessRate;
agentCount++;
}
}
return agentCount > 0 ? totalTrust / agentCount : 1.0;
}
/**
* Estimate task complexity for session
* @param {Object} session - Session configuration
*/
estimateTaskComplexity(session) {
let complexity = 0.5; // Base complexity
// Increase complexity based on agent count
complexity += Math.min(0.3, session.agentIds.length / 20);
// Increase complexity for parallel strategy
if (session.strategy === 'parallel') {
complexity += 0.2;
}
// Increase complexity if collaboration is enabled
if (session.knowledgeGraph && session.knowledgeGraph.size > 0) {
complexity += 0.1;
}
return Math.min(1, complexity);
}
/**
* Check if session has heterogeneous agents
* @param {Object} session - Session configuration
*/
isHeterogeneousSession(session) {
const agentTypes = new Set();
for (const agentId of session.agentIds) {
const metrics = this.coordinationMetrics.get(agentId);
if (metrics && metrics.agentType) {
agentTypes.add(metrics.agentType);
}
}
return agentTypes.size > 1;
}
/**
* Select consensus protocol for strategy
* @param {Object} session - Session configuration
* @param {Object} strategy - Coordination strategy
*/
selectConsensusProtocol(session, strategy) {
const trustLevel = this.calculateSessionTrustLevel(session);
const agentCount = session.agentIds.length;
// Select based on trust level and agent count
if (trustLevel < 0.5 || agentCount > 20) {
return this.consensusProtocols.get('pbft');
} else if (trustLevel > 0.8 && agentCount <= 10) {
return this.consensusProtocols.get('raft');
} else if (agentCount > 10) {
return this.consensusProtocols.get('gossip');
}
return this.consensusProtocols.get('proof_of_stake');
}
/**
* Build communication graph for session
* @param {Array} agentIds - Agent identifiers
* @param {Object} strategy - Coordination strategy
*/
buildCommunicationGraph(agentIds, strategy) {
const graph = new Map();
// Initialize nodes
for (const agentId of agentIds) {
graph.set(agentId, new Set());
}
// Build connections based on strategy
switch (strategy.characteristics.communicationPattern) {
case 'star':
this.buildStarTopology(graph, agentIds);
break;
case 'mesh':
this.buildMeshTopology(graph, agentIds);
break;
case 'ring':
this.buildRingTopology(graph, agentIds);
break;
case 'local_neighborhood':
this.buildNeighborhoodTopology(graph, agentIds, strategy.parameters.neighborhoodRadius);
break;
default:
this.buildMeshTopology(graph, agentIds); // Default to mesh
}
return graph;
}
/**
* Build star topology (one central node connected to all others)
* @param {Map} graph - Communication graph
* @param {Array} agentIds - Agent identifiers
*/
buildStarTopology(graph, agentIds) {
if (agentIds.length === 0) {
return;
}
const centerAgent = agentIds[0]; // Select first agent as center
for (let i = 1; i < agentIds.length; i++) {
const agentId = agentIds[i];
graph.get(centerAgent).add(agentId);
graph.get(agentId).add(centerAgent);
}
}
/**
* Build mesh topology (all nodes connected to all others)
* @param {Map} graph - Communication graph
* @param {Array} agentIds - Agent identifiers
*/
buildMeshTopology(graph, agentIds) {
for (let i = 0; i < agentIds.length; i++) {
for (let j = i + 1; j < agentIds.length; j++) {
const agentA = agentIds[i];
const agentB = agentIds[j];
graph.get(agentA).add(agentB);
graph.get(agentB).add(agentA);
}
}
}
/**
* Build ring topology (each node connected to neighbors in a ring)
* @param {Map} graph - Communication graph
* @param {Array} agentIds - Agent identifiers
*/
buildRingTopology(graph, agentIds) {
for (let i = 0; i < agentIds.length; i++) {
const current = agentIds[i];
const next = agentIds[(i + 1) % agentIds.length];
const prev = agentIds[(i - 1 + agentIds.length) % agentIds.length];
graph.get(current).add(next);
graph.get(current).add(prev);
}
}
/**
* Build neighborhood topology (each node connected to nearby nodes)
* @param {Map} graph - Communication graph
* @param {Array} agentIds - Agent identifiers
* @param {number} radius - Neighborhood radius
*/
buildNeighborhoodTopology(graph, agentIds, radius = 2) {
for (let i = 0; i < agentIds.length; i++) {
const current = agentIds[i];
for (let j = 1; j <= radius; j++) {
// Connect to agents within radius in both directions
const next = agentIds[(i + j) % agentIds.length];
const prev = agentIds[(i - j + agentIds.length) % agentIds.length];
if (next !== current) {
graph.get(current).add(next);
}
if (prev !== current) {
graph.get(current).add(prev);
}
}
}
}
/**
* Initialize communication channels for session
* @param {Object} session - Coordination session
*/
async initializeCommunicationChannels(session) {
const { communicationGraph, agentIds } = session;
// Create message queues for each agent
for (const agentId of agentIds) {
if (!session.messageQueue.has(agentId)) {
session.messageQueue.set(agentId, []);
}
}
// Establish bidirectional channels based on communication graph
for (const [agentId, connections] of communicationGraph.entries()) {
const agentChannels = this.communicationChannels.get(agentId);
for (const connectedAgentId of connections) {
if (!agentChannels.has(connectedAgentId)) {
agentChannels.set(connectedAgentId, {
sessionId: session.id,
latency: this.calculateChannelLatency(agentId, connectedAgentId),
bandwidth: this.calculateChannelBandwidth(agentId, connectedAgentId),
reliability: this.calculateChannelReliability(agentId, connectedAgentId),
messageHistory: [],
});
}
}
}
console.log(`Initialized communication channels for session ${session.id}`);
}
/**
* Calculate communication latency between agents
* @param {string} agentA - First agent ID
* @param {string} agentB - Second agent ID
*/
calculateChannelLatency(agentA, agentB) {
// Simplified latency calculation (in practice, would consider network topology)
const baseLatency = 50; // Base latency in milliseconds
const randomVariation = Math.random() * 50; // Random variation
return baseLatency + randomVariation;
}
/**
* Calculate communication bandwidth between agents
* @param {string} agentA - First agent ID
* @param {string} agentB - Second agent ID
*/
calculateChannelBandwidth(agentA, agentB) {
// Simplified bandwidth calculation (in practice, would consider agent capabilities)
const baseBandwidth = 1000; // Base bandwidth
const agentAMetrics = this.coordinationMetrics.get(agentA);
const agentBMetrics = this.coordinationMetrics.get(agentB);
// Bandwidth limited by slower agent
const agentABandwidth = agentAMetrics?.communicationBandwidth || baseBandwidth;
const agentBBandwidth = agentBMetrics?.communicationBandwidth || baseBandwidth;
return Math.min(agentABandwidth, agentBBandwidth);
}
/**
* Calculate communication reliability between agents
* @param {string} agentA - First agent ID
* @param {string} agentB - Second agent ID
*/
calculateChannelReliability(agentA, agentB) {
const agentAMetrics = this.coordinationMetrics.get(agentA);
const agentBMetrics = this.coordinationMetrics.get(agentB);
const agentAReliability = agentAMetrics?.coordinationSuccessRate || 1.0;
const agentBReliability = agentBMetrics?.coordinationSuccessRate || 1.0;
// Channel reliability is product of agent reliabilities
return agentAReliability * agentBReliability;
}
/**
* Coordinate agents in session
* @param {Object} session - Coordination session
*/
async coordinate(session) {
const coordinationSession = this.activeSessions.get(session.id);
if (!coordinationSession) {
throw new Error(`Session ${session.id} not found`);
}
coordinationSession.coordinationState = 'coordinating';
try {
// Execute coordination based on strategy
const coordinationResult = await this.executeCoordinationStrategy(coordinationSession);
// Apply consensus if required
if (coordinationSession.consensusProtocol) {
const consensusResult = await this.executeConsensusProtocol(coordinationSession, coordinationResult);
coordinationResult.consensus = consensusResult;
}
// Store coordination results
this.coordinationResults.set(session.id, coordinationResult);
// Update coordination metrics
this.updateCoordinationMetrics(coordinationSession, coordinationResult);
coordinationSession.coordinationState = 'completed';
return coordinationResult;
} catch (error) {
coordinationSession.coordinationState = 'error';
console.error(`Coordination failed for session ${session.id}:`, error);
throw error;
}
}
/**
* Execute coordination strategy
* @param {Object} session - Coordination session
*/
async executeCoordinationStrategy(session) {
const { strategy } = session;
switch (strategy.name) {
case 'Hierarchical Coordination':
return this.executeHierarchicalCoordination(session);
case 'Peer-to-Peer Coordination':
return this.executePeerToPeerCoordination(session);
case 'Swarm Coordination':
return this.executeSwarmCoordination(session);
case 'Market-Based Coordination':
return this.executeMarketBasedCoordination(session);
case 'Contract Net Protocol':
return this.executeContractNetCoordination(session);
case 'Blackboard System':
return this.executeBlackboardCoordination(session);
case 'Multi-Agent Reinforcement Learning':
return this.executeMARLCoordination(session);
case 'Byzantine Fault Tolerant':
return this.executeByzantineCoordination(session);
default:
return this.executePeerToPeerCoordination(session); // Default
}
}
/**
* Execute hierarchical coordination
* @param {Object} session - Coordination session
*/
async executeHierarchicalCoordination(session) {
const leader = this.selectLeader(session);
const coordinationPlan = await this.createCoordinationPlan(session, leader);
// Distribute plan from leader to followers
const results = new Map();
for (const agentId of session.agentIds) {
if (agentId !== leader) {
const task = coordinationPlan.tasks.get(agentId);
if (task) {
const result = await this.assignTask(agentId, task, session);
results.set(agentId, result);
}
}
}
return {
strategy: 'hierarchical',
leader,
plan: coordinationPlan,
results,
success: true,
timestamp: Date.now(),
};
}
/**
* Execute peer-to-peer coordination
* @param {Object} session - Coordination session
*/
async executePeerToPeerCoordination(session) {
const negotiations = new Map();
// Each agent negotiates with its neighbors
for (const agentId of session.agentIds) {
const neighbors = session.communicationGraph.get(agentId) || new Set();
const agentNegotiations = [];
for (const neighborId of neighbors) {
const negotiation = await this.negotiateWithPeer(agentId, neighborId, session);
agentNegotiations.push(negotiation);
}
negotiations.set(agentId, agentNegotiations);
}
// Aggregate negotiation results
const coordinationAgreements = this.aggregateNegotiations(negotiations);
return {
strategy: 'peer_to_peer',
negotiations,
agreements: coordinationAgreements,
success: true,
timestamp: Date.now(),
};
}
/**
* Execute swarm coordination
* @param {Object} session - Coordination session
*/
async executeSwarmCoordination(session) {
const swarmBehaviors = new Map();
const emergentPatterns = new Map();
// Each agent updates its behavior based on local neighborhood
for (const agentId of session.agentIds) {
const neighborhood = this.getNeighborhood(agentId, session);
const localState = await this.calculateLocalState(agentId, neighborhood, session);
const behavior = this.updateSwarmBehavior(agentId, localState, session);
swarmBehaviors.set(agentId, behavior);
}
// Detect emergent coordination patterns
for (const agentId of session.agentIds) {
const pattern = this.detectEmergentPattern(agentId, swarmBehaviors, session);
emergentPatterns.set(agentId, pattern);
}
return {
strategy: 'swarm',
behaviors: swarmBehaviors,
emergentPatterns,
success: true,
timestamp: Date.now(),
};
}
/**
* Execute market-based coordination
* @param {Object} session - Coordination session
*/
async executeMarketBasedCoordination(session) {
const auctionResults = new Map();
const tasks = this.identifyCoordinationTasks(session);
// Run auction for each task
for (const task of tasks) {
const auction = await this.runTaskAuction(task, session);
auctionResults.set(task.id, auction);
}
// Allocate tasks based on auction results
const taskAllocations = this.allocateTasksFromAuctions(auctionResults);
return {
strategy: 'market_based',
auctions: auctionResults,
allocations: taskAllocations,
success: true,
timestamp: Date.now(),
};
}
/**
* Execute contract net coordination
* @param {Object} session - Coordination session
*/
async executeContractNetCoordination(session) {
const contractResults = new Map();
const announcements = await this.createTaskAnnouncements(session);
// Process each task announcement
for (const announcement of announcements) {
const bids = await this.collectBids(announcement, session);
const selectedBid = this.selectWinningBid(bids, announcement);
const contract = await this.establishContract(announcement, selectedBid, session);
contractResults.set(announcement.taskId, {
announcement,
bids,
selectedBid,
contract,
});
}
return {
strategy: 'contract_net',
contracts: contractResults,
success: true,
timestamp: Date.now(),
};
}
/**
* Execute blackboard coordination
* @param {Object} session - Coordination session
*/
async executeBlackboardCoordination(session) {
const blackboard = this.initializeBlackboard(session);
const knowledgeSources = this.activateKnowledgeSources(session);
// Opportunistic coordination through blackboard
let coordinationComplete = false;
let iterations = 0;
const maxIterations = 10;
while (!coordinationComplete && iterations < maxIterations) {
// Each knowledge source contributes to blackboard
for (const [agentId, ks] of knowledgeSources.entries()) {
await this.executeKnowledgeSource(agentId, ks, blackboard, session);
}
// Check for coordination completion
coordinationComplete = this.checkCoordinationCompletion(blackboard, session);
iterations++;
}
return {
strategy: 'blackboard',
blackboard: this.serializeBlackboard(blackboard),
iterations,
success: coordinationComplete,
timestamp: Date.now(),
};
}
/**
* Execute multi-agent reinforcement learning coordination
* @param {Object} session - Coordination session
*/
async executeMARLCoordination(session) {
const agentPolicies = new Map();
const sharedReward = this.calculateSharedReward(session);
// Update each agent's policy based on shared reward
for (const agentId of session.agentIds) {
const currentPolicy = await this.getAgentPolicy(agentId, session);
const updatedPolicy = await this.updatePolicyWithSharedReward(
agentId,
currentPolicy,
sharedReward,
session,
);
agentPolicies.set(agentId, updatedPolicy);
}
// Execute coordinated actions based on updated policies
const coordinatedActions = new Map();
for (const [agentId, policy] of agentPolicies.entries()) {
const action = await this.selectCoordinatedAction(agentId, policy, session);
coordinatedActions.set(agentId, action);
}
return {
strategy: 'marl',
policies: agentPolicies,
sharedReward,
actions: coordinatedActions,
success: true,
timestamp: Date.now(),
};
}
/**
* Execute Byzantine fault tolerant coordination
* @param {Object} session - Coordination session
*/
async executeByzantineCoordination(session) {
const byzantineResults = new Map();
const decisions = await this.gatherAgentDecisions(session);
// Run Byzantine consensus on each decision type
const decisionTypes = new Set();
for (const [agentId, decision] of decisions.entries()) {
decisionTypes.add(decision.type);
}
for (const decisionType of decisionTypes) {
const typeDecisions = new Map();
for (const [agentId, decision] of decisions.entries()) {
if (decision.type === decisionType) {
typeDecisions.set(agentId, decision);
}
}
const consensus = await this.runByzantineConsensus(typeDecisions, session);
byzantineResults.set(decisionType, consensus);
}
return {
strategy: 'byzantine_ft',
decisions,
consensus: byzantineResults,
success: true,
timestamp: Date.now(),
};
}
/**
* Execute consensus protocol
* @param {Object} session - Coordination session
* @param {Object} coordinationResult - Result from coordination strategy
*/
async executeConsensusProtocol(session, coordinationResult) {
const { consensusProtocol } = session;
switch (consensusProtocol.name) {
case 'Proof of Stake':
return this.executeProofOfStakeConsensus(session, coordinationResult);
case 'Practical Byzantine Fault Tolerance':
return this.executePBFTConsensus(session, coordinationResult);
case 'Raft Consensus':
return this.executeRaftConsensus(session, coordinationResult);
case 'Gossip Protocol':
return this.executeGossipConsensus(session, coordinationResult);
default:
return this.executeGossipConsensus(session, coordinationResult); // Default
}
}
/**
* Get coordination results for session
* @param {string} sessionId - Session identifier
*/
async getResults(sessionId) {
return this.coordinationResults.get(sessionId) || null;
}
/**
* Update coordination metrics after coordination
* @param {Object} session - Coordination session
* @param {Object} result - Coordination result
*/
updateCoordinationMetrics(session, result) {
for (const agentId of session.agentIds) {
const metrics = this.coordinationMetrics.get(agentId);
if (metrics) {
metrics.consensusParticipation++;
if (result.success) {
const currentSuccess = metrics.coordinationSuccessRate * metrics.consensusParticipation;
metrics.coordinationSuccessRate = (currentSuccess + 1) / (metrics.consensusParticipation + 1);
} else {
const currentSuccess = metrics.coordinationSuccessRate * metrics.consensusParticipation;
metrics.coordinationSuccessRate = currentSuccess / (metrics.consensusParticipation + 1);
}
metrics.lastUpdate = Date.now();
}
}
}
/**
* Get coordination statistics
*/
getStatistics() {
const activeSessions = this.activeSessions.size;
const totalAgents = this.coordinationMetrics.size;
let avgSuccessRate = 0;
let totalMessages = 0;
for (const [agentId, metrics] of this.coordinationMetrics.entries()) {
avgSuccessRate += metrics.coordinationSuccessRate;
totalMessages += metrics.messagesExchanged;
}
return {
activeSessions,
totalAgents,
avgSuccessRate: totalAgents > 0 ? avgSuccessRate / totalAgents : 0,
totalMessages,
availableStrategies: this.coordinationStrategies.size,
availableConsensusProtocols: this.consensusProtocols.size,
};
}
// Helper methods for coordination strategies (simplified implementations)
selectLeader(session) {
// Select agent with highest performance as leader
let bestAgent = session.agentIds[0];
let bestScore = 0;
for (const agentId of session.agentIds) {
const metrics = this.coordinationMetrics.get(agentId);
if (metrics && metrics.coordinationSuccessRate > bestScore) {
bestScore = metrics.coordinationSuccessRate;
bestAgent = agentId;
}
}
return bestAgent;
}
async createCoordinationPlan(session, leader) {
const tasks = new Map();
// Create simple task distribution plan
for (let i = 0; i < session.agentIds.length; i++) {
const agentId = session.agentIds[i];
if (agentId !== leader) {
tasks.set(agentId, {
id: `task_${i}`,
type: 'coordination',
priority: 'medium',
deadline: Date.now() + 300000, // 5 minutes
});
}
}
return { tasks, leader, timestamp: Date.now() };
}
async assignTask(agentId, task, session) {
// Simulate task assignment
return {
agentId,
taskId: task.id,
status: 'assigned',
timestamp: Date.now(),
};
}
async negotiateWithPeer(agentA, agentB, session) {
// Simulate negotiation between peers
return {
participants: [agentA, agentB],
outcome: 'agreement',
terms: { cooperation: 0.8 },
timestamp: Date.now(),
};
}
aggregateNegotiations(negotiations) {
const agreements = new Map();
for (const [agentId, agentNegotiations] of negotiations.entries()) {
const agentAgreements = agentNegotiations.filter(n => n.outcome === 'agreement');
agreements.set(agentId, agentAgreements);
}
return agreements;
}
getNeighborhood(agentId, session) {
return session.communicationGraph.get(agentId) || new Set();
}
async calculateLocalState(agentId, neighborhood, session) {
// Calculate local state based on neighborhood
return {
agentId,
neighborCount: neighborhood.size,
averagePerformance: 0.8, // Simplified
localEnergy: Math.random(),
};
}
updateSwarmBehavior(agentId, localState, session) {
// Update agent behavior based on local state
return {
agentId,
behavior: 'cooperative',
intensity: localState.localEnergy,
direction: Math.random() * 2 * Math.PI,
};
}
detectEmergentPattern(agentId, swarmBehaviors, session) {
// Detect emergent coordination patterns
return {
agentId,
pattern: 'flocking',
strength: Math.random(),
timestamp: Date.now(),
};
}
identifyCoordinationTasks(session) {
// Identify tasks that need coordination
return [
{ id: 'task1', type: 'computation', complexity: 0.5 },
{ id: 'task2', type: 'communication', complexity: 0.3 },
];
}
async runTaskAuction(task, session) {
// Simulate task auction
const bids = new Map();
for (const agentId of session.agentIds) {
const bid = Math.random() * 100; // Random bid
bids.set(agentId, { agentId, bid, task: task.id });
}
const winningBid = Math.max(...bids.values().map(b => b.bid));
const winner = Array.from(bids.entries()).find(([id, bid]) => bid.bid === winningBid)?.[0];
return { task, bids, winner, winningBid };
}
allocateTasksFromAuctions(auctionResults) {
const allocations = new Map();
for (const [taskId, auction] of auctionResults.entries()) {
if (auction.winner) {
allocations.set(taskId, auction.winner);
}
}
return allocations;
}
// Additional helper methods would be implemented here...
// For brevity, including placeholder implementations
async createTaskAnnouncements(session) {
return [{ taskId: 'announce1', description: 'Coordination task' }];
}
async collectBids(announcement, session) {
return [{ agentId: session.agentIds[0], bid: 50 }];
}
selectWinningBid(bids, announcement) {
return bids[0];
}
async establishContract(announcement, selectedBid, session) {
return { contractor: selectedBid.agentId, task: announcement.taskId };
}
initializeBlackboard(session) {
return new Map();
}
activateKnowledgeSources(session) {
const sources = new Map();
for (const agentId of session.agentIds) {
sources.set(agentId, { type: 'agent_knowledge', priority: 1 });
}
return sources;
}
async executeKnowledgeSource(agentId, ks, blackboard, session) {
// Simulate knowledge source execution
blackboard.set(`${agentId}_contribution`, { data: 'knowledge', timestamp: Date.now() });
}
checkCoordinationCompletion(blackboard, session) {
return blackboard.size >= session.agentIds.length;
}
serializeBlackboard(blackboard) {
return Object.fromEntries(blackboard);
}
calculateSharedReward(session) {
return Math.random(); // Simplified shared reward
}
async getAgentPolicy(agentId, session) {
return { agentId, policy: 'default', parameters: {} };
}
async updatePolicyWithSharedReward(agentId, policy, reward, session) {
return { ...policy, reward };
}
async selectCoordinatedAction(agentId, policy, session) {
return { agentId, action: 'cooperate', confidence: 0.8 };
}
async gatherAgentDecisions(session) {
const decisions = new Map();
for (const agentId of session.agentIds) {
decisions.set(agentId, { type: 'coordination', value: Math.random() });
}
return decisions;
}
async runByzantineConsensus(decisions, session) {
// Simplified Byzantine consensus
const values = Array.from(decisions.values()).map(d => d.value);
const median = values.sort()[Math.floor(values.length / 2)];
return { consensusValue: median, participants: decisions.size };
}
// Consensus protocol implementations (simplified)
async executeProofOfStakeConsensus(session, coordinationResult) {
return { protocol: 'proof_of_stake', result: 'consensus_reached' };
}
async executePBFTConsensus(session, coordinationResult) {
return { protocol: 'pbft', result: 'consensus_reached' };
}
async executeRaftConsensus(session, coordinationResult) {
return { protocol: 'raft', result: 'consensus_reached' };
}
async executeGossipConsensus(session, coordinationResult) {
return { protocol: 'gossip', result: 'consensus_reached' };
}
}
export { NeuralCoordinationProtocol };