integrated-reasoning-v2

name	integrated-reasoning-v2
description	Enhanced meta-orchestration for selecting and combining reasoning patterns. Now includes 9 methodologies (ToT, BoT, SRC, HE, AR, DR, AT, RTR, NDF) with weighted multi-dimensional selection, feedback loops, uncertainty propagation, and validated confidence aggregation. Use when facing complex problems requiring optimal reasoning strategy selection.
license	MIT

Integrated Reasoning v2 - Meta-Orchestration

Purpose: Select and orchestrate optimal reasoning pattern(s) for your problem. V2 addresses limitations of v1: adds new patterns, replaces order-dependent decision tree with weighted scoring, includes feedback loops, and fixes confidence aggregation.

Available Reasoning Patterns (9)

Pattern	Purpose	Best For
Tree of Thoughts (ToT)	Find optimal solution through deep exploration	Optimization, clear criteria, find THE best
Breadth of Thought (BoT)	Map solution space comprehensively	Unknown space, need multiple options
Self-Reflecting Chain (SRC)	Sequential reasoning with validation	Dependent steps, proofs, linear traces
Hypothesis-Elimination (HE)	Systematic elimination through evidence	Diagnosis, debugging, root cause
Adversarial Reasoning (AR)	Stress-test through attack simulation	Validation, security, pre-mortems
Dialectical Reasoning (DR)	Synthesize opposing valid perspectives	Trade-offs, conceptual conflicts
Analogical Transfer (AT)	Solve via cross-domain parallels	Novel problems, no direct precedent
Rapid Triage Reasoning (RTR)	Fast decisions under time pressure	Incidents, emergencies, time-boxed choices
Negotiated Decision Framework (NDF)	Multi-stakeholder coordination	Politics, competing interests, buy-in needed

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Pattern Selection: Weighted Multi-Dimensional Scoring

Step 1: Assess Problem Characteristics

Score each dimension (1-5):

| Dimension | Score | Description |
|-----------|-------|-------------|
| **Sequential Dependencies** | _/5 | Do steps depend on previous steps? |
| **Criteria Clarity** | _/5 | Can you clearly evaluate solutions? |
| **Solution Space Known** | _/5 | Do you know the options? |
| **Single Answer Needed** | _/5 | Need ONE answer vs multiple options? |
| **Evidence Available** | _/5 | Can you gather discriminating evidence? |
| **Opposing Valid Views** | _/5 | Are there legitimate conflicting perspectives? |
| **Problem Novelty** | _/5 | Is this unprecedented in your domain? |
| **Robustness Required** | _/5 | Need to stress-test before committing? |
| **Solution Exists** | _/5 | Do you have a candidate solution to evaluate? |
| **Time Pressure** | _/5 | How constrained is decision time? (5=minutes) |
| **Stakeholder Complexity** | _/5 | Multiple parties with competing interests? |

Step 1.5: Time Pressure Fast-Path

CRITICAL: If Time Pressure = 5 (emergency/incident):

• Skip full scoring
• Use Rapid Triage Reasoning (RTR) directly
• RTR is optimized for decisions under extreme time constraints

If Time Pressure ≥ 4:

• Consider RTR unless problem is clearly sequential (use SRC) or diagnostic (use HE)
• Apply abbreviated scoring (skip orchestration considerations)

Step 2: Calculate Pattern Affinity Scores

ToT  = (Criteria × 0.35) + (SingleAnswer × 0.30) + (SpaceKnown × 0.20) + ((6-Novelty) × 0.15)

BoT  = ((6-SpaceKnown) × 0.35) + ((6-SingleAnswer) × 0.30) + ((6-Criteria) × 0.20) + (Novelty × 0.15)

SRC  = (Sequential × 0.45) + (Criteria × 0.25) + (SingleAnswer × 0.20) + ((6-OpposingViews) × 0.10)

HE   = (Evidence × 0.40) + (SingleAnswer × 0.30) + ((6-Novelty) × 0.20) + ((6-OpposingViews) × 0.10)

AR   = (Robustness × 0.40) + (SolutionExists × 0.30) + ((6-Novelty) × 0.15) + (Evidence × 0.15)
       # NOTE: AR requires SolutionExists ≥ 3, otherwise score = 0

DR   = (OpposingViews × 0.50) + (Criteria × 0.20) + ((6-Evidence) × 0.15) + (MIN(SingleAnswer, OpposingViews) × 0.15)
       # NOTE: V2.1 fix - SingleAnswer no longer penalized when OpposingViews is high

AT   = (Novelty × 0.45) + ((6-SpaceKnown) × 0.30) + ((6-Evidence) × 0.15) + ((6-Sequential) × 0.10)

RTR  = (TimePressure × 0.50) + (SingleAnswer × 0.25) + (Evidence × 0.15) + ((6-Novelty) × 0.10)
       # NOTE: RTR auto-selected when TimePressure = 5

NDF  = (StakeholderComplexity × 0.45) + (OpposingViews × 0.25) + ((6-Criteria) × 0.15) + ((6-TimePressure) × 0.15)
       # NOTE: NDF requires StakeholderComplexity ≥ 3 to be considered

Formula Validation Rules (V2.1):

• AR returns 0 if SolutionExists < 3 (nothing to attack)
• RTR auto-triggers when TimePressure = 5 (emergency mode)
• NDF returns 0 if StakeholderComplexity < 3 (single decision-maker)
• If multiple patterns score within 0.3 of each other, use uncertainty propagation (Step 2.5)

Step 2.5: Uncertainty Propagation (V2.1)

When dimension scores are uncertain, propagate uncertainty to pattern selection:

## Uncertainty Assessment

For each dimension where you're unsure (±1 point uncertainty):

1. Calculate pattern scores at LOW end (dimension - 1)
2. Calculate pattern scores at HIGH end (dimension + 1)
3. If different pattern wins at each end → **Flag as uncertain selection**

### Handling Uncertain Selections

**If same pattern wins both ends**: Proceed with confidence
**If different patterns win**:
  - Run BOTH patterns in parallel (if time permits)
  - OR use the pattern that's more robust to being wrong
  - OR gather more information to reduce dimension uncertainty

### Uncertainty Discount
Apply -5% to final confidence for each uncertain dimension that affects the winning pattern.

Step 3: Interpret Scores

Scenario	Action
One pattern scores >4.0	Use that pattern directly
Top 2 within 0.5 of each other	Consider multi-pattern orchestration
Top 3 within 0.3 of each other	Apply uncertainty propagation first
All patterns <3.0	Problem may need decomposition first
Top pattern <2.5	None fit well; use Direct Analysis

Direct Analysis (10th Pattern)

When all pattern scores are below 2.5, no specialized methodology is warranted:

## Direct Analysis

**When to use**: All patterns score <2.5 (problem doesn't match any pattern's strengths)

**Approach**:
1. No special framework needed
2. Just think through the problem directly, step by step
3. Use common sense and straightforward reasoning
4. Appropriate for simple problems that don't need cognitive overhead

**Examples**:
- Simple factual questions
- Straightforward calculations
- Basic lookups or translations
- Problems with obvious solutions

**Confidence**: Use intuitive confidence based on problem clarity
- Clear problem + clear answer = high confidence
- Any ambiguity = document it explicitly

Direct Analysis Threshold

Use Direct Analysis (no specialized pattern) when:

• MAX(all pattern scores) < 4.0 AND
• No dimension scored >= 4 AND
• Problem is not time-critical (TimePressure < 4)

Direct Analysis = simple step-by-step reasoning without framework overhead.

---

Sequential vs Parallel Execution Decision

Use SEQUENTIAL when:

• Pattern B depends on Pattern A's output (e.g., BoT finds options → ToT optimizes)
• Confidence from A affects what to do in B
• Evidence from A eliminates need for B
• One pattern discovers the problem is different than expected

Use PARALLEL when:

• Patterns explore independent dimensions
• No dependency between pattern outputs
• Need ensemble confidence (run same problem through 2 patterns)
• Time allows and you want cross-validation
• Patterns are complementary (e.g., different perspectives on same problem)

Common Chains (Sequential):

BoT → ToT → AR     (explore → optimize → validate)
HE → SRC → AR      (diagnose → trace → validate fix)
AT → DR → ToT      (analogize → synthesize → optimize)
RTR → HE → ToT     (triage → root cause → proper fix)
NDF → ToT → AR     (align stakeholders → optimize → validate)
DR → NDF → ToT     (resolve concepts → negotiate politics → optimize)
AT → BoT → ToT     (find analogies → explore adaptations → select best)

Common Parallel Combinations:

BoT || AT          (parallel exploration from different angles)
ToT || DR          (optimize while synthesizing trade-offs)
HE branches        (test multiple hypotheses simultaneously)
AR attack vectors  (stress-test from multiple directions at once)

---

Full Reasoning Chain: Input → Output

Complete end-to-end flow for IR-v2 orchestration:

1. **Problem Input**
   └─→ Receive problem statement, constraints, and context

2. **Score 11 Dimensions**
   └─→ Sequential Dependencies, Criteria Clarity, Solution Space Known,
       Single Answer Needed, Evidence Available, Opposing Valid Views,
       Problem Novelty, Robustness Required, Solution Exists,
       Time Pressure, Stakeholder Complexity

3. **Fast-Path Check**
   └─→ TimePressure = 5? → RTR immediately (skip remaining steps)

4. **Pattern Selection**
   └─→ IR-v2 calculates affinity scores for all 9 patterns
   └─→ Apply validation rules (AR needs solution, NDF needs stakeholders)

5. **Direct Analysis Check**
   └─→ All patterns < 2.5? → Use Direct Analysis (no framework)

6. **Orchestration Decision**
   └─→ Single pattern > 4.0? → Use that pattern directly
   └─→ Top 2 within 0.5? → Consider multi-pattern orchestration
   └─→ Top 3 within 0.3? → Apply uncertainty propagation first
   └─→ Decide: Sequential or Parallel execution?

7. **Pattern Execution**
   └─→ Apply selected pattern(s) using their methodologies
   └─→ Track confidence and key findings

8. **Checkpoint (15 min)**
   └─→ Progress check, pattern fit check, new information check
   └─→ Re-evaluate and potentially switch patterns if needed

9. **Handover (if multi-pattern)**
   └─→ Transfer context via .reasoning/ directory
   └─→ Preserve insights from completed pattern
   └─→ Set up next pattern with full context

10. **Synthesis (if multi-pattern)**
    └─→ Combine findings from all patterns
    └─→ Resolve conflicts, identify agreements

11. **Confidence Aggregation**
    └─→ Single pattern: use internal confidence
    └─→ Multi-pattern: apply agreement analysis
    └─→ Apply uncertainty discounts if applicable

12. **Output**
    └─→ Deliver answer with reasoning trail
    └─→ Document confidence level and key uncertainties
    └─→ Provide actionable recommendations

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Multi-Pattern Orchestration

When to Orchestrate

• Top 2 patterns within 0.5 points AND
• Problem is high-stakes (consequences matter) AND
• Time budget allows (>45 minutes available)

Orchestration Patterns

Sequential Orchestration (most common):

1. Use exploration pattern first (BoT, AT)
2. Use optimization pattern second (ToT, HE)
3. Use validation pattern last (AR, SRC)

Parallel Orchestration (when patterns are complementary):

• Run 2 patterns independently
• Compare conclusions
• Use agreement/disagreement to calibrate confidence

Nested Orchestration (when patterns address different aspects):

• Apply different patterns to different sub-problems
• Synthesize at the end

Orchestration Decision Table

Pattern A High	Pattern B High	Orchestration
BoT	ToT	Sequential: BoT (explore) → ToT (optimize top options)
BoT	HE	Sequential: BoT (generate hypotheses) → HE (eliminate)
ToT	AR	Sequential: ToT (select) → AR (validate before commit)
ToT	SRC	Sequential: ToT (decide) → SRC (plan implementation)
DR	ToT	Sequential: DR (resolve tension) → ToT (optimize within synthesis)
AT	ToT	Sequential: AT (find analogies) → ToT (evaluate derived solutions)
AT	BoT	Parallel: Both explore, merge findings
HE	SRC	Sequential: HE (find cause) → SRC (trace mechanism)
RTR	HE	Sequential: RTR (immediate triage) → HE (post-incident RCA)
RTR	AR	Sequential: RTR (quick decision) → AR (post-decision validation)

| NDF | ToT | Sequential: NDF (get buy-in) → ToT (optimize within agreed bounds) | | NDF | DR | Sequential: DR (resolve conceptual tension) → NDF (negotiate stakeholders) | | BoT | NDF | Sequential: BoT (explore options) → NDF (negotiate which to pursue) |

RTR Orchestration Rules:

• RTR is typically a STARTING pattern, not an ending one
• After RTR stabilizes situation, follow up with deeper analysis
• RTR → HE for incident root cause analysis
• RTR → ToT for revisiting decision with more time

NDF Orchestration Rules:

• NDF typically FOLLOWS technical analysis (know options before negotiating)
• BoT → NDF: Explore space, then negotiate which options to pursue
• NDF → ToT: After stakeholder agreement, optimize implementation
• DR → NDF: Resolve conceptual tensions first, then stakeholder tensions

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Parallel Execution Integration

When to Parallelize

Parallel execution is appropriate when independent reasoning paths can run concurrently without blocking each other:

Condition	Parallelization Strategy
Top 2 patterns within 0.3 of each other	Run both patterns in parallel, compare results
BoT natural parallelism	8-10 branches can explore simultaneously
Hypothesis testing (HE)	Parallel evidence gathering for multiple hypotheses
Multi-perspective needs (MoA pattern)	Different "expert personas" analyze in parallel

Parallel Orchestration Patterns

Pattern Combination	Parallel Strategy	Merge Approach
BoT || AT	Parallel exploration from different angles	Merge findings, deduplicate insights
ToT branches	Parallel subtree exploration at each level	Take best-scoring subtree
HE hypotheses	Parallel evidence collection for each hypothesis	Aggregate evidence, eliminate losers
AR attacks	Parallel threat simulation (different attack vectors)	Union of discovered vulnerabilities

Parallel Configuration

parallel_config:
  max_concurrent_patterns: 3      # Max patterns running simultaneously
  max_concurrent_branches: 8      # Max branches within a single pattern
  merge_strategy: "consensus"     # "consensus" | "voting" | "aggregation" | "best-of-n"
  timeout_per_branch_ms: 60000    # 60 second timeout per branch
  early_termination_threshold: 0.95  # Stop early if confidence exceeds this

Configuration Guidelines:

• Use max_concurrent_patterns: 2 for typical orchestration
• Use max_concurrent_branches: 8 for BoT exploration
• Increase timeout_per_branch_ms for complex sub-problems
• Lower early_termination_threshold (e.g., 0.85) when speed matters more than certainty

Merge Strategies

Strategy	When to Use	Behavior
Consensus	High-stakes, need confidence	All must agree → boost confidence by +10%; any disagreement → flag for review