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MABEAM PHASE 04 ADVANCED COORD

Documentation for MABEAM_PHASE_04_ADVANCED_COORD from the Foundation repository.

MABEAM Phase 4: Advanced Coordination (Foundation.MABEAM.Coordination.*)

Phase Overview

Goal: Implement sophisticated coordination strategies (auction, market-based) Duration: 5-6 development cycles Prerequisites: Phase 3 complete (Basic coordination operational)

Phase 4 Architecture

Foundation.MABEAM.Coordination.*
├── Auction-Based Coordination
├── Market-Based Coordination  
├── Game-Theoretic Protocols
├── Adaptive Coordination
└── Performance Optimization

Step-by-Step Implementation

Step 4.1: Auction-Based Coordination

Duration: 2 development cycles Checkpoint: Multiple auction types working with no warnings

Objectives

  • Implement sealed-bid auctions
  • English (ascending) auctions
  • Dutch (descending) auctions
  • Combinatorial auctions
  • Payment rules and efficiency metrics

TDD Approach

Red Phase: Create auction tests

# test/foundation/mabeam/coordination/auction_test.exs
defmodule Foundation.MABEAM.Coordination.AuctionTest do
  use ExUnit.Case, async: false
  
  alias Foundation.MABEAM.Coordination.Auction
  
  describe "sealed bid auction" do
    test "first price sealed bid auction" do
      bids = [
        {agent1: %{bid: 10.0, value: 0.8}},
        {agent2: %{bid: 15.0, value: 0.9}},
        {agent3: %{bid: 12.0, value: 0.7}}
      ]
      
      {:ok, result} = Auction.run_auction(:temperature_setting, bids,
        auction_type: :sealed_bid,
        payment_rule: :first_price
      )
      
      assert result.winner == :agent2
      assert result.winning_value == 0.9
      assert result.payment == 15.0
    end
    
    test "second price sealed bid auction" do
      bids = [
        {agent1: %{bid: 10.0, value: 0.8}},
        {agent2: %{bid: 15.0, value: 0.9}},
        {agent3: %{bid: 12.0, value: 0.7}}
      ]
      
      {:ok, result} = Auction.run_auction(:resource_allocation, bids,
        auction_type: :sealed_bid,
        payment_rule: :second_price
      )
      
      assert result.winner == :agent2
      assert result.payment == 12.0  # Second highest bid
    end
  end
  
  describe "english auction" do
    test "ascending price auction with multiple rounds" do
      agents = [:bidder1, :bidder2, :bidder3]
      
      {:ok, result} = Auction.run_auction(:cpu_allocation, agents,
        auction_type: :english,
        starting_price: 5.0,
        increment: 1.0,
        max_rounds: 10
      )
      
      assert result.auction_type == :english
      assert result.payment >= 5.0
      assert result.rounds <= 10
    end
  end
end

Green Phase: Implement auction mechanisms

# lib/foundation/mabeam/coordination/auction.ex
defmodule Foundation.MABEAM.Coordination.Auction do
  @moduledoc """
  Auction-based coordination where agents bid for resources or parameter values.
  """
  
  alias Foundation.MABEAM.{AgentRegistry, Types}
  alias Foundation.{Events, Telemetry}
  
  @type bid :: {atom(), bid_details()}
  @type bid_details :: %{
    bid: float(),
    value: term(),
    max_bid: float(),
    reason: String.t()
  }
  
  @type auction_result :: %{
    winner: atom(),
    winning_value: term(),
    payment: float(),
    auction_type: auction_type(),
    participants: non_neg_integer(),
    efficiency: float(),
    rounds: non_neg_integer()
  }
  
  @type auction_type :: :sealed_bid | :english | :dutch | :combinatorial
  
  @spec run_auction(atom(), [bid()], keyword()) :: {:ok, auction_result()} | {:error, term()}
  def run_auction(variable_id, bids, opts \\ [])
  
  def run_auction(variable_id, bids, opts) do
    auction_type = Keyword.get(opts, :auction_type, :sealed_bid)
    
    start_time = System.monotonic_time()
    emit_auction_start_event(variable_id, auction_type, length(bids))
    
    result = case auction_type do
      :sealed_bid -> run_sealed_bid_auction(variable_id, bids, opts)
      :english -> run_english_auction(variable_id, bids, opts)
      :dutch -> run_dutch_auction(variable_id, bids, opts)
      :combinatorial -> run_combinatorial_auction(variable_id, bids, opts)
    end
    
    emit_auction_complete_event(variable_id, result, start_time)
    result
  end
  
  # Implementation of different auction types...
end

Deliverables

  • Complete auction framework
  • Multiple auction types implemented
  • Payment rules and efficiency calculations
  • Comprehensive auction testing

Step 4.2: Market-Based Coordination

Duration: 2 development cycles
Checkpoint: Market mechanisms working with price discovery

Objectives

  • Implement market-based resource allocation
  • Price discovery mechanisms
  • Supply and demand modeling
  • Market equilibrium finding

TDD Approach

Red Phase: Test market mechanisms

describe "market coordination" do
  test "finds market equilibrium" do
    suppliers = [
      {cpu_supplier: %{supply: 100, min_price: 1.0}},
      {memory_supplier: %{supply: 200, min_price: 0.5}}
    ]
    
    demanders = [
      {compute_agent: %{demand: 80, max_price: 2.0}},
      {storage_agent: %{demand: 150, max_price: 1.0}}
    ]
    
    {:ok, result} = Market.find_equilibrium(:resource_market, suppliers, demanders)
    
    assert result.equilibrium_found == true
    assert result.clearing_price > 0
    assert result.total_traded > 0
  end
end

Deliverables

  • Market-based coordination framework
  • Price discovery algorithms
  • Supply/demand modeling
  • Equilibrium finding mechanisms

Step 4.3: Game-Theoretic Protocols

Duration: 1-2 development cycles Checkpoint: Basic game theory implementations

Objectives

  • Nash equilibrium finding
  • Mechanism design principles
  • Incentive compatibility
  • Strategy-proof mechanisms

Deliverables

  • Game-theoretic coordination protocols
  • Nash equilibrium algorithms
  • Mechanism design framework
  • Strategy analysis tools

Phase 4 Completion Criteria

Functional Requirements

  • Advanced coordination mechanisms operational
  • Auction systems working with multiple types
  • Market-based coordination functional
  • Game-theoretic protocols implemented
  • Performance optimization complete

Quality Requirements

  • Zero dialyzer warnings
  • Zero credo –strict violations
  • >95% test coverage
  • Performance benchmarks for all mechanisms
  • Scalability testing completed

Next Phase

Upon successful completion of Phase 4:

  • Proceed to Phase 5: Telemetry and Monitoring
  • Begin with MABEAM_PHASE_05_TELEMETRY.md