class CollaborativeAgentSystem:
    def __init__(self, coordination_strategy='hybrid'):
        self.agents = {}
        self.coordination_engine = self._create_coordination_engine(coordination_strategy)
        self.communication_infrastructure = MessageBroker()
        self.conflict_resolution_mechanism = ConflictResolver()
        
    def _create_coordination_engine(self, strategy):
        engines = {
            'centralized': CentralizedCoordinator(),
            'decentralized': DecentralizedNegotiator(),
            'hybrid': HybridCoordinationEngine(
                local_autonomy=True,
                global_objectives=True
            )
        }
        return engines[strategy]
    
    def add_agent(self, agent_id, agent_instance, capabilities):
        self.agents[agent_id] = {
            'instance': agent_instance,
            'capabilities': capabilities,
            'status': 'active'
        }
        
    def execute_collaborative_task(self, task_specification):
        # Phase 1: Task Decomposition
        subtasks = self._decompose_task(task_specification)
        
        # Phase 2: Agent Assignment
        assignments = self._assign_subtasks(subtasks)
        
        # Phase 3: Coordinated Execution
        results = self._execute_with_coordination(assignments)
        
        # Phase 4: Result Integration
        final_result = self._integrate_results(results)
        
        return final_result

public class AgentCommunicationProtocol {
    public static final String MESSAGE_FORMAT_VERSION = "1.0";
    
    public enum MessageType {
        TASK_ASSIGNMENT,
        STATUS_UPDATE,
        RESOURCE_REQUEST,
        CONFLICT_NOTIFICATION,
        COORDINATION_PROPOSAL,
        RESULT_SHARING,
        EMERGENCY_ALERT
    }
    
    public class AgentMessage {
        private String messageId;
        private String senderId;
        private String receiverId;
        private MessageType type;
        private Object payload;
        private long timestamp;
        private int priority;
        private Map<String, Object> metadata;
        
        // Constructor and getters/setters...
        
        public boolean isValid() {
            return messageId != null && 
                   senderId != null && 
                   type != null && 
                   payload != null &&
                   timestamp > 0;
        }
        
        public boolean requiresAcknowledgment() {
            return priority >= MessagePriority.HIGH.getValue() ||
                   type == MessageType.TASK_ASSIGNMENT ||
                   type == MessageType.COORDINATION_PROPOSAL;
        }
    }
    
    public interface MessageHandler {
        void handleMessage(AgentMessage message);
        boolean canHandle(MessageType type);
    }
}

class FederationCoordinator {
private:
    std::map<std::string, std::shared_ptr<FederatedAgent>> agents_;
    std::map<std::string, std::vector<std::string>> domain_memberships_;
    std::unique_ptr<ConsensusMechanism> consensus_engine_;
    std::unique_ptr<ConflictMediator> conflict_resolver_;
    
public:
    struct FederationConfiguration {
        double autonomy_threshold = 0.7;     // Agent decision autonomy level
        double collaboration_factor = 0.3;   // Degree of inter-agent cooperation
        int max_negotiation_rounds = 5;      // Maximum rounds for reaching agreement
        double conflict_resolution_timeout = 30.0; // Seconds
    };
    
    bool registerAgent(const std::string& agent_id, 
                      std::shared_ptr<FederatedAgent> agent,
                      const std::vector<std::string>& domains) {
        if (agents_.find(agent_id) != agents_.end()) {
            return false; // Agent already registered
        }
        
        agents_[agent_id] = agent;
        
        // Register in relevant domains
        for (const auto& domain : domains) {
            domain_memberships_[domain].push_back(agent_id);
        }
        
        // Initialize agent with federation policies
        agent->setFederationPolicies(FederationPolicies{
            .autonomy_level = config_.autonomy_threshold,
            .collaboration_obligation = config_.collaboration_factor,
            .communication_protocol = PROTOCOL_FEDERATED_V1
        });
        
        return true;
    }
    
    std::future<CollaborationResult> initiateCollaborativeTask(
        const CollaborationRequest& request) {
        
        // Identify relevant agents based on task requirements
        auto relevant_agents = identifyRelevantAgents(request.domains);
        
        // Distribute task among agents
        auto task_distribution = distributeTask(request, relevant_agents);
        
        // Monitor progress and coordinate as needed
        return std::async(std::launch::async, [this, task_distribution]() {
            return executeDistributedTask(task_distribution);
        });
    }
};

#[derive(Debug)]
pub struct MultiLevelAgentSystem {
    pub levels: HashMap<u32, LevelCoordinator>,
    pub inter_level_communication: InterLevelRouter,
    pub global_policy_enforcer: GlobalPolicyManager,
}

#[derive(Debug)]
pub struct LevelCoordinator {
    pub coordinator: Box<dyn Coordinator>,
    pub agents: Vec<AgentIdentifier>,
    pub capabilities: Vec<Capability>,
    pub authority_scope: AuthorityScope,
}

impl MultiLevelAgentSystem {
    pub fn new(configuration: MultiLevelConfig) -> Result<Self, SystemError> {
        let mut system = MultiLevelAgentSystem {
            levels: HashMap::new(),
            inter_level_communication: InterLevelRouter::new(),
            global_policy_enforcer: GlobalPolicyManager::new(),
        };
        
        // Initialize each level based on configuration
        for (level_id, level_config) in configuration.levels.iter() {
            let coordinator = match level_config.coordination_type {
                CoordinationType::Centralized => {
                    Box::new(CentralizedCoordinator::new(level_config.authority))
                },
                CoordinationType::Decentralized => {
                    Box::new(DecentralizedCoordinator::new(level_config.collaboration_rules))
                },
                CoordinationType::MarketBased => {
                    Box::new(MarketBasedCoordinator::new(level_config.resource_allocation))
                },
            };
            
            system.levels.insert(*level_id, LevelCoordinator {
                coordinator,
                agents: Vec::new(),
                capabilities: level_config.capabilities.clone(),
                authority_scope: level_config.authority_scope.clone(),
            });
        }
        
        Ok(system)
    }
    
    pub async fn process_collaborative_request(
        &mut self, 
        request: CollaborativeRequest
    ) -> Result<CollaborativeResponse, ProcessingError> {
        // Route request to appropriate level based on complexity and domain
        let target_level = self.route_request(&request)?;
        
        // Execute at that level
        let level_result = self.levels
            .get_mut(&target_level)
            .ok_or(ProcessingError::InvalidLevel)?
            .coordinator
            .execute_request(request.clone())
            .await?;
        
        // Escalate if needed
        if level_result.requires_escalation() {
            return self.escalate_request(request, target_level + 1).await;
        }
        
        // Handle cross-level coordination if needed
        if level_result.needs_cross_level_coordination() {
            return self.coordinate_across_levels(level_result, &request).await;
        }
        
        Ok(level_result.into_response())
    }
}

public class ContractNetProtocol
{
    public class TaskAnnouncement
    {
        public string TaskId { get; set; }
        public string Description { get; set; }
        public Dictionary<string, object> Requirements { get; set; }
        public DateTime Deadline { get; set; }
        public int Reward { get; set; }
        public string Initiator { get; set; }
    }
    
    public class Bid
    {
        public string TaskId { get; set; }
        public string Bidder { get; set; }
        public int Cost { get; set; }
        public TimeSpan EstimatedDuration { get; set; }
        public double Confidence { get; set; }
        public Dictionary<string, object> ResourcesRequired { get; set; }
    }
    
    public class Contract
    {
        public string TaskId { get; set; }
        public string Contractor { get; set; }
        public string Contractee { get; set; }
        public DateTime StartTime { get; set; }
        public DateTime EndTime { get; set; }
        public int AgreedCost { get; set; }
        public Dictionary<string, object> Terms { get; set; }
    }
    
    public async Task<List<Contract>> ExecuteContractNet(TaskAnnouncement announcement)
    {
        // Phase 1: Announcement Broadcasting
        var bids = await BroadcastAnnouncementAndCollectBids(announcement);
        
        // Phase 2: Bid Evaluation
        var qualifiedBids = FilterQualifiedBids(bids, announcement.Requirements);
        
        // Phase 3: Winner Selection
        var winners = SelectWinners(qualifiedBids, announcement.Reward);
        
        // Phase 4: Contract Formation
        var contracts = FormContracts(winners, announcement);
        
        // Phase 5: Contract Execution Monitoring
        MonitorContractExecution(contracts);
        
        return contracts;
    }
}

type AuctionBasedAllocator struct {
    resources map[string]*Resource
    auctions  map[string]*Auction
    bidders   map[string]*Bidder
}

type Auction struct {
    ResourceID   string
    ResourceType string
    StartingPrice float64
    ReservePrice float64
    CurrentBid   float64
    HighestBidder string
    StartTime    time.Time
    EndTime      time.Time
    Status       AuctionStatus
    Bids         []*Bid
}

type Bid struct {
    BidderID  string
    Amount    float64
    Timestamp time.Time
    Conditions map[string]interface{}
}

func (a *AuctionBasedAllocator) conductAuction(resourceID string) (*AuctionResult, error) {
    auction := a.auctions[resourceID]
    if auction == nil {
        return nil, fmt.Errorf("auction not found for resource %s", resourceID)
    }
    
    // Wait for auction to end
    <-time.After(auction.EndTime.Sub(time.Now()))
    
    // Determine winner and finalize allocation
    winner := a.determineWinner(auction)
    if winner == nil {
        // No valid bids, return resource to pool
        auction.Status = AuctionStatusFailed
        return &AuctionResult{Status: AuctionStatusFailed}, nil
    }
    
    // Allocate resource to winner
    resource := a.resources[resourceID]
    resource.AllocatedTo = winner.BidderID
    resource.AllocationTime = time.Now()
    
    auction.Status = AuctionStatusCompleted
    auction.HighestBidder = winner.BidderID
    
    return &AuctionResult{
        Status: AuctionStatusCompleted,
        Winner: winner.BidderID,
        FinalPrice: winner.Amount,
        ResourceID: resourceID,
        CompletionTime: time.Now(),
    }, nil
}

class HierarchicalConflictResolver:
    def __init__(self, authority_hierarchy):
        self.authority_hierarchy = authority_hierarchy  # [(level, resolver), ...]
        self.current_level = 0
        
    def resolve_conflict(self, conflict):
        # Attempt resolution at current level
        level_resolver = self.authority_hierarchy[self.current_level][1]
        resolution = level_resolver.attempt_resolution(conflict)
        
        if resolution.success:
            return resolution.outcome
        
        # Escalate if resolution failed
        if self.current_level < len(self.authority_hierarchy) - 1:
            self.current_level += 1
            return self.resolve_conflict(conflict)
        else:
            # Final escalation - emergency procedures
            return self.invoke_emergency_resolution(conflict)

class VotingBasedResolver {
    constructor(voting_rules = 'majority') {
        this.votingRules = voting_rules;
        this.voteWeights = new Map(); // Agent ID -> voting weight
    }
    
    async conductVote(issue, eligible_voters) {
        const votes = new Map();
        const promises = [];
        
        // Collect votes from all eligible agents
        for (const agent of eligible_voters) {
            const votePromise = agent.castVote(issue)
                .then(vote => votes.set(agent.id, vote))
                .catch(error => {
                    console.warn(`Agent ${agent.id} failed to vote:`, error);
                    votes.set(agent.id, 'abstain');
                });
            promises.push(votePromise);
        }
        
        // Wait for all voting to complete
        await Promise.allSettled(promises);
        
        // Calculate results based on voting rules
        return this.calculateResults(votes, issue);
    }
    
    calculateResults(votes, issue) {
        const tally = {};
        let totalWeightedVotes = 0;
        
        // Count weighted votes
        for (const [agentId, vote] of votes.entries()) {
            const weight = this.voteWeights.get(agentId) || 1;
            if (!tally[vote]) tally[vote] = 0;
            tally[vote] += weight;
            totalWeightedVotes += weight;
        }
        
        // Apply voting rule
        switch (this.votingRules) {
            case 'majority':
                return this.findMajority(tally, totalWeightedVotes);
            case 'super_majority':
                return this.findSuperMajority(tally, totalWeightedVotes, 0.67);
            case 'unanimous':
                return this.checkUnanimity(tally, totalWeightedVotes);
            default:
                throw new Error(`Unknown voting rule: ${this.votingRules}`);
        }
    }
}

case class ReliableMessageTransport(
    underlyingTransport: MessageTransport,
    deliveryGuarantees: DeliveryGuarantees,
    retryPolicy: RetryPolicy
) extends MessageTransport {
    
    override def send(message: AgentMessage): Future[DeliveryResult] = {
        val deliveryAttempt = attemptDelivery(message)
        
        deliveryAttempt.flatMap {
            case Success(result) => Future.successful(result)
            case Failure(exception) =>
                if (shouldRetry(message, exception)) {
                    scheduleRetry(message, exception)
                } else {
                    Future.failed(DeliveryFailure(message, exception))
                }
        }
    }
    
    private def attemptDelivery(message: AgentMessage): Future[DeliveryResult] = {
        underlyingTransport.send(message).recoverWith {
            case networkError: NetworkException =>
                // Attempt alternative routes
                findAlternativeRoute(message).flatMap(underlyingTransport.send)
                
            case receiverError: ReceiverException =>
                // Store for later delivery
                storePendingMessage(message)
                Future.successful(QueuedForLater(message.messageId))
        }
    }
    
    private def shouldRetry(message: AgentMessage, error: Throwable): Boolean = {
        message.priority >= MessagePriority.MEDIUM.value &&
        retryPolicy.shouldRetry(error) &&
        message.retryCount < retryPolicy.maxRetries
    }
}

class PubSubBroker {
    private val topics = ConcurrentHashMap<String, CopyOnWriteArrayList<Subscriber>>()
    private val executor = Executors.newFixedThreadPool(10)
    
    fun subscribe(topic: String, subscriber: Subscriber) {
        topics.computeIfAbsent(topic) { CopyOnWriteArrayList() }.add(subscriber)
    }
    
    fun unsubscribe(topic: String, subscriber: Subscriber) {
        topics[topic]?.remove(subscriber)
    }
    
    fun publish(topic: String, message: Message) {
        val subscribers = topics[topic] ?: return
        
        // Parallel delivery to all subscribers
        subscribers.parallelStream().forEach { subscriber ->
            try {
                executor.submit { subscriber.onMessage(message) }
            } catch (e: Exception) {
                logger.warn("Failed to deliver message to subscriber ${subscriber.id}", e)
            }
        }
    }
    
    fun publishFiltered(topic: String, message: Message, filter: (Subscriber) -> Boolean) {
        val subscribers = topics[topic]?.filter(filter) ?: return
        
        subscribers.forEach { subscriber ->
            executor.submit { subscriber.onMessage(message) }
        }
    }
}

struct DistributedKnowledgeBase {
    private let shards: [KnowledgeShard]
    private let consistencyProtocol: ConsistencyProtocol
    private let replicationManager: ReplicationManager
    
    struct KnowledgeEntry {
        let id: String
        let content: KnowledgeContent
        let metadata: KnowledgeMetadata
        let provenance: [AgentID]
        let confidence: Double
        let timestamp: Date
        let version: Int
    }
    
    func store(_ entry: KnowledgeEntry) async throws {
        // Determine appropriate shard based on content hash
        let shard = determineShard(for: entry.id)
        
        // Apply consistency protocol
        try await consistencyProtocol.propose(entry, to: shard)
        
        // Replicate to maintain availability
        try await replicationManager.replicate(entry, excluding: shard)
    }
    
    func retrieve(_ query: KnowledgeQuery) async throws -> [KnowledgeEntry] {
        let candidateShards = determineCandidateShards(for: query)
        let results = await candidateShards.concurrentMap { shard in
            return await shard.search(query)
        }
        
        // Merge and deduplicate results
        let mergedResults = mergeResults(Array(results.joined()))
        
        // Sort by relevance and confidence
        return mergedResults.sorted { entry1, entry2 in
            entry1.confidence > entry2.confidence
        }
    }
}

class AgentDirectoryService {
    private $registry = [];
    private $capabilityIndex = [];
    private $heartbeatMonitor;
    
    public function registerAgent($agentInfo) {
        $agentId = $agentInfo['id'];
        
        // Store basic agent information
        $this->registry[$agentId] = [
            'info' => $agentInfo,
            'capabilities' => $agentInfo['capabilities'],
            'lastHeartbeat' => time(),
            'status' => 'active'
        ];
        
        // Index by capabilities for fast lookup
        foreach ($agentInfo['capabilities'] as $capability) {
            if (!isset($this->capabilityIndex[$capability])) {
                $this->capabilityIndex[$capability] = [];
            }
            $this->capabilityIndex[$capability][] = $agentId;
        }
        
        // Set up heartbeat monitoring
        $this->heartbeatMonitor->watch($agentId, function($agentId) {
            $this->handleAgentTimeout($agentId);
        });
        
        return true;
    }
    
    public function findAgentsWithCapability($capability, $requirements = []) {
        $candidateAgents = $this->capabilityIndex[$capability] ?? [];
        $matchingAgents = [];
        
        foreach ($candidateAgents as $agentId) {
            $agentInfo = $this->registry[$agentId];
            
            // Check if agent meets specific requirements
            if ($this->matchesRequirements($agentInfo, $requirements)) {
                $matchingAgents[] = $agentInfo;
            }
        }
        
        return $matchingAgents;
    }
    
    public function getAgentStatus($agentId) {
        return $this->registry[$agentId]['status'] ?? 'unknown';
    }
}

class DynamicLoadBalancer
  def initialize(agents_pool, balancing_algorithm = :least_connections)
    @agents = agents_pool
    @algorithm = balancing_algorithm
    @load_metrics = {}
    @performance_history = {}
  end
  
  def select_agent_for_task(task)
    case @algorithm
    when :round_robin
      select_by_round_robin(task)
    when :least_connections
      select_by_least_connections(task)
    when :weighted_response_time
      select_by_weighted_response_time(task)
    when :predictive_performance
      select_by_predictive_performance(task)
    else
      raise ArgumentError, "Unknown balancing algorithm: #{@algorithm}"
    end
  end
  
  private
  
  def select_by_least_connections(task)
    available_agents = @agents.select(&:healthy?)
    
    min_connections_agent = available_agents.min_by do |agent|
      @load_metrics[agent.id]&.current_connections || 0
    end
    
    # Update load metrics
    update_load_metrics(min_connections_agent, task)
    
    min_connections_agent
  end
  
  def select_by_weighted_response_time(task)
    available_agents = @agents.select(&:healthy?)
    
    best_agent = available_agents.max_by do |agent|
      performance_score = calculate_performance_score(agent)
      capability_match = calculate_capability_match(agent, task)
      
      # Weight combination favoring both performance and capability fit
      (performance_score * 0.7) + (capability_match * 0.3)
    end
    
    update_performance_tracking(best_agent, task)
    best_agent
  end
  
  def calculate_performance_score(agent)
    history = @performance_history[agent.id] || []
    return 1.0 if history.empty?
    
    # Calculate weighted average with emphasis on recent performance
    recent_performances = history.last(10)
    weights = (1..recent_performances.length).map { |i| i.to_f / recent_performances.length }
    
    weighted_sum = recent_performances.zip(weights).sum { |perf, weight| perf * weight }
    total_weight = weights.sum
    
    weighted_sum / total_weight
  end
end

interface FaultToleranceManager {
    monitorAgentHealth(agent: Agent): Promise<HealthStatus>;
    handleAgentFailure(failedAgent: Agent, failureType: FailureType): Promise<RecoveryPlan>;
    redistributeWorkload(failedTasks: Task[]): Promise<void>;
    activateBackupSystems(): Promise<SystemState>;
}

class ResilientCollaborationSystem implements FaultToleranceManager {
    private healthMonitors: Map<string, HealthMonitor>;
    private backupAgents: Map<string, Agent>;
    private taskRedistributor: TaskRedistributor;
    
    async handleAgentFailure(failedAgent: Agent, failureType: FailureType): Promise<RecoveryPlan> {
        const recoveryPlan: RecoveryPlan = {
            immediateActions: [],
            mediumTermActions: [],
            longTermActions: []
        };
        
        // Immediate actions to maintain system stability
        if (failureType.severity === 'critical') {
            recoveryPlan.immediateActions.push({
                type: 'isolate',
                target: failedAgent.id,
                reason: 'Preventing cascade failure'
            });
        }
        
        // Redistribute pending tasks
        const pendingTasks = await this.getPendingTasksForAgent(failedAgent);
        if (pendingTasks.length > 0) {
            recoveryPlan.immediateActions.push({
                type: 'redistribute',
                tasks: pendingTasks,
                method: 'round-robin-among-peers'
            });
        }
        
        // Activate backup systems if needed
        const criticalCapabilities = this.getCriticalCapabilitiesOfAgent(failedAgent);
        for (const capability of criticalCapabilities) {
            const backupAvailable = await this.hasBackupForCapability(capability);
            if (!backupAvailable) {
                recoveryPlan.mediumTermActions.push({
                    type: 'activate_external_backup',
                    capability: capability,
                    estimated_timeframe: '2-4 hours'
                });
            }
        }
        
        return recoveryPlan;
    }
    
    async redistributeWorkload(tasks: Task[]): Promise<void> {
        const workloadDistribution = await this.calculateOptimalRedistribution(tasks);
        
        for (const [agentId, assignedTasks] of Object.entries(workloadDistribution)) {
            const agent = this.getAgentById(agentId);
            if (agent) {
                await agent.assignTasks(assignedTasks);
            }
        }
        
        // Update global task registry
        await this.updateTaskAssignments(workloadDistribution);
    }
}

-- Database schema for collaborative system metrics
CREATE TABLE system_metrics (
    timestamp TIMESTAMP,
    system_id VARCHAR(50),
    metric_name VARCHAR(100),
    metric_value NUMERIC,
    unit VARCHAR(20),
    context JSONB
);

-- Key collaborative performance indicators
INSERT INTO system_metrics_views AS
SELECT 
    date_trunc('hour', timestamp) as hour,
    system_id,
    AVG(CASE WHEN metric_name = 'task_completion_rate' THEN metric_value END) as avg_completion_rate,
    AVG(CASE WHEN metric_name = 'coordination_overhead_ratio' THEN metric_value END) as avg_coordination_overhead,
    AVG(CASE WHEN metric_name = 'communication_efficiency' THEN metric_value END) as avg_communication_efficiency,
    MAX(CASE WHEN metric_name = 'system_availability' THEN metric_value END) as system_availability,
    COUNT(CASE WHEN metric_name = 'conflict_resolution_time' THEN 1 END) as conflict_resolutions,
    AVG(CASE WHEN metric_name = 'conflict_resolution_time' THEN metric_value END) as avg_resolution_time
FROM system_metrics 
WHERE timestamp >= NOW() - INTERVAL '24 hours'
GROUP BY hour, system_id;

class AgentPerformanceEvaluator:
    def __init__(self):
        self.metrics_collector = MetricsCollector()
        self.benchmark_suite = BenchmarkSuite()
        
    def evaluate_agent_collaboration(self, agent_id, time_window_hours=24):
        metrics = {
            'individual_performance': self._evaluate_individual_performance(agent_id, time_window_hours),
            'collaboration_effectiveness': self._evaluate_collaboration_effectiveness(agent_id, time_window_hours),
            'resource_utilization': self._evaluate_resource_utilization(agent_id, time_window_hours),
            'reliability_measures': self._evaluate_reliability(agent_id, time_window_hours)
        }
        
        return self._generate_composite_score(metrics)
    
    def _evaluate_collaboration_effectiveness(self, agent_id, time_window):
        collaboration_events = self.metrics_collector.get_collaboration_events(
            agent_id, 
            hours=time_window
        )
        
        successful_collaborations = sum(1 for event in collaboration_events 
                                      if event.outcome == 'success')
        total_collaborations = len(collaboration_events)
        
        if total_collaborations == 0:
            collaboration_rate = 1.0  # No collaborations to evaluate
        else:
            collaboration_rate = successful_collaborations / total_collaborations
            
        # Consider collaboration quality, not just success/failure
        avg_collaboration_quality = statistics.mean(
            event.quality_score for event in collaboration_events
        ) if collaboration_events else 0.0
        
        return {
            'success_rate': collaboration_rate,
            'quality_score': avg_collaboration_quality,
            'avg_response_time': self._calculate_avg_response_time(collaboration_events),
            'conflict_resolution_efficiency': self._measure_conflict_resolution_efficiency(agent_id)
        }

public class CollaborativeSystemTestFramework {
    private TestScenarioExecutor scenarioExecutor;
    private MetricsCollector metricsCollector;
    private FailureInjector failureInjector;
    
    public class TestScenario {
        private String name;
        private List<TestStep> steps;
        private Map<String, Object> initialConditions;
        private List<FailureCondition> failureConditions;
        private ExpectedOutcomes expectedOutcomes;
        
        public TestResult execute() {
            // Set up initial conditions
            setupEnvironment(initialConditions);
            
            TestResult result = new TestResult();
            result.setStartTime(System.currentTimeMillis());
            
            try {
                // Execute test steps with potential failures
                for (TestStep step : steps) {
                    // Inject potential failures based on scenario definition
                    if (shouldInjectFailure()) {
                        failureInjector.inject(step.getPotentialFailurePoint());
                    }
                    
                    // Execute the step
                    StepResult stepResult = step.execute();
                    result.addStepResult(stepResult);
                    
                    // Check intermediate assertions
                    assertIntermediateConditions(step.getAssertions());
                }
                
                // Verify final outcomes
                result.setSuccess(verifyFinalOutcomes(expectedOutcomes));
                result.setStatus(TestStatus.PASSED);
                
            } catch (Exception e) {
                result.setError(e);
                result.setStatus(TestStatus.FAILED);
            } finally {
                result.setEndTime(System.currentTimeMillis());
                cleanupEnvironment();
            }
            
            return result;
        }
    }
    
    public TestReport runCollaborationTestSuite(List<TestScenario> scenarios) {
        TestReport report = new TestReport();
        
        for (TestScenario scenario : scenarios) {
            System.out.println("Executing scenario: " + scenario.getName());
            
            TestResult result = scenario.execute();
            report.addTestResult(scenario.getName(), result);
            
            // Collect metrics during execution
            MetricsSnapshot snapshot = metricsCollector.getCurrentSnapshot();
            report.addMetricsSnapshot(scenario.getName(), snapshot);
        }
        
        return report.generateSummary();
    }
}

Manufacturing Workflow Collaboration System
┌────────────────────────────────────────────────────────────────────┐
│                          Enterprise Level                          │
├────────────────────────────────────────────────────────────────────┤
│  Production Planning   ┌─►  Supply Chain   ┌─►  Quality Control   │
│       Agent            │        Agent       │        Agent         │
├────────────────────────┼────────────────────┼──────────────────────┤
│       │                │        │           │         │            │
│       ▼                │        ▼           │         ▼            │
│  Scheduling Agents ◄───┼──► Procurement  ◄─┼──► Inspection Agents │
│    (Line 1-10)         │     Agents         │     (Station A-Z)    │
├────────────────────────┼────────────────────┼──────────────────────┤
│    Local Controllers   │   Resource         │   Defect Tracking    │
│    • Machine Agents    │   Management       │   • Vision Systems   │
│    • Conveyor Agents   │   • Inventory      │   • Analysis Agents  │
│    • Safety Monitors   │     Agents         │   • Classification   │
└────────────────────────┴────────────────────┴──────────────────────┘

public class SmartCityTrafficSystem {
    private readonly TrafficManagementAgent trafficAgent;
    private readonly WeatherImpactAgent weatherAgent;
    private readonly EmergencyServicesAgent emergencyAgent;
    private readonly PublicTransitAgent transitAgent;
    
    public async Task<CityTrafficOptimizationPlan> OptimizeTrafficForPeriod(DateTime period) {
        // Gather current state from all domains
        var trafficState = await trafficAgent.GetCurrentTrafficState();
        var weatherForecast = await weatherAgent.GetForecast(period);
        var emergencyEvents = await emergencyAgent.GetPlannedEvents(period);
        var transitSchedule = await transitAgent.GetScheduleChanges(period);
        
        // Identify coordination requirements
        var coordinationNeeds = IdentifyCoordinationRequirements(
            trafficState, weatherForecast, emergencyEvents, transitSchedule);
            
        // Execute collaborative optimization
        var optimizationTasks = CreateOptimizationTasks(coordinationNeeds);
        var taskResults = await ExecuteCoordinatedTasks(optimizationTasks);
        
        // Integrate results into comprehensive plan
        return IntegrateOptimizationResults(taskResults);
    }
    
    private CoordinationRequirements IdentifyCoordinationRequirements(
        TrafficState traffic, 
        WeatherForecast weather, 
        EmergencyEvents events, 
        TransitSchedule transit) {
        
        var requirements = new CoordinationRequirements();
        
        // Weather impact coordination
        if (weather.HasSignificantImpact()) {
            requirements.Add(new CoordinationRequirement {
                Type = RequirementType.WeatherImpactMitigation,
                Priority = Priority.High,
                AffectedAgents = new[] { trafficAgent, transitAgent },
                Constraints = weather.GetTrafficImpactConstraints()
            });
        }
        
        // Emergency event coordination
        foreach (var emergencyEvent in events.ListUpcomingEvents()) {
            requirements.Add(new CoordinationRequirement {
                Type = RequirementType.EmergencyResponse,
                Priority = Priority.Critical,
                AffectedAgents = IdentifyAffectedAgents(emergencyEvent.Location),
                TemporalScope = emergencyEvent.TimeWindow,
                SpecialInstructions = emergencyEvent.CoordinationProtocols
            });
        }
        
        return requirements;
    }
}

function [optimal_assignment] = quantum_cooperative_assignment(agents, tasks, constraints)
    % Encode coordination problem into quantum Hamiltonian
    H_problem = encode_assignment_hamiltonian(agents, tasks, constraints);
    
    % Prepare quantum system
    n_qubits = length(agents) * length(tasks);
    psi_initial = initialize_uniform_superposition(n_qubits);
    
    % Apply quantum annealing process
    evolution_time = optimize_annealing_schedule(constraints.complexity);
    psi_final = quantum_anneal(psi_initial, H_problem, evolution_time);
    
    % Measure final state to obtain solution
    optimal_assignment = measure_optimal_configuration(psi_final, agents, tasks);
    
    % Validate quantum solution with classical verification
    if validate_assignment_feasibility(optimal_assignment, constraints)
        fprintf('Quantum-enhanced assignment found successfully\n');
    else
        fprintf('Quantum solution invalid, falling back to classical method\n');
        optimal_assignment = classical_fallback_assignment(agents, tasks, constraints);
    end
end

library(swarmintelligence)

simulate_biological_collaboration <- function(agent_population, environment_conditions) {
  # Initialize agent swarm with biological parameters
  swarm <- initialize_swarm(
    population_size = length(agent_population),
    pheromone_decay = 0.1,
    exploration_rate = 0.3,
    social_influence = 0.7
  )
  
  # Simulate collaborative foraging behavior for tasks
  for (generation in 1:1000) {
    # Each agent evaluates local task opportunities
    local_evaluations <- lapply(agent_population, function(agent) {
      evaluate_local_tasks(agent, environment_conditions)
    })
    
    # Deposit pheromone trails for promising task assignments
    for (i in seq_along(local_evaluations)) {
      if (local_evaluations[[i]]$quality > threshold) {
        deposit_pheromone_trace(
          swarm$agents[[i]], 
          local_evaluations[[i]]$task_location,
          intensity = local_evaluations[[i]]$quality
        )
      }
    }
    
    # Global pheromone update and evaporation
    update_global_pheromone_matrix(swarm, decay_rate = 0.1)
    
    # Agent movement based on pheromone gradients
    move_agents_based_on_trails(swarm, environment_conditions)
    
    # Check for convergence or collaboration milestones
    if (check_collaboration_convergence(swarm, generation)) {
      break
    }
  }
  
  return(extract_collaboration_pattern(swarm))
}

(defn emergent-collaboration-engine [initial-agents environment]
  (let [organization-structure (atom {})
        capability-matrix (build-capability-matrix initial-agents)
        collaboration-opportunities (identify-collaboration-opportunities environment)]
    
    ;; Continuous adaptation loop
    (while (not (:terminated @organization-structure))
      ;; Sense phase - agents assess environment and opportunities
      (let [agent-assessments (pmap #(sense-environment % environment) initial-agents)
            collective-awareness (aggregate-awareness agent-assessments)]
        
        ;; Organize phase - spontaneous formation of collaboration groups
        (let [new-groups (form-spontaneous-groups 
                          agent-assessments 
                          capability-matrix 
                          collaboration-opportunities)]
          
          ;; Negotiate phase - group coordination and resource allocation
          (let [coordination-agreements (negotiate-group-agreements new-groups)]
            
            ;; Act phase - execute collaborative activities
            (execute-coordinated-actions coordination-agreements)
            
            ;; Learn phase - adapt organization based on performance
            (swap! organization-structure 
                   evolve-organization-structure 
                   coordination-agreements 
                   collective-awareness)))))
    
    @organization-structure))