Cognitive science landscape
Open-source thinking-framework skills that make rigorous reasoning executable for AI agents — first-principles, inversion, second-order thinking, Occam's razor, Bayesian reasoning. Built by deciqAI.
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Activate when: user says 'I want to improve my thinking,' 'why does my decision-making keep failing,' 'how do I optimize my cognitive performance,' 'what's the full picture of how the mind works,' or is about to apply a single cognitive intervention without understanding which domain is the bottleneck. Do NOT activate when: the specific cognitive domain is already clearly identified and scoped (use domain-specific tools instead); the problem is not cognitively rooted (resource constraints, politics, or external environment are the driver). More: deciqai.com/s/cognitive-science-landscape
SKILL.md
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Cognitive Science Landscape
Overview
Eight interconnected domains constitute human cognition: (1) Perception & Attention, (2) Memory, (3) Language & Thought, (4) Decision Making & Judgment, (5) Metacognition, (6) Emotion & Cognition, (7) Social Cognition, (8) Creativity & Innovation. Treating them in isolation produces local improvements systematically undermined by adjacent unaddressed weaknesses. The skill is NOT listing all eight domains — it is identifying which domain is the bottleneck and tracing its upstream dependencies.
Cross-skill composition: Use BEFORE [metacognition] (covers domain 5 of 8 only). Use WITH [cognitive-evolution-stages]: landscape = WHAT domains exist; evolution stages = how competence within any domain develops.
When to Use
- A cognitive intervention (memory training, decision frameworks, mindfulness) is not producing results
- Designing a learning or development program — avoid tunnel vision on one domain
- Communication failures, team problems, or leadership gaps with a cognitive origin
- Building AI systems that model or augment human cognition
- Someone says "think better" without specifying which domain is the bottleneck
When NOT to use: Domain already clearly identified (use domain-specific tools); problem is not cognitively rooted; immediate decision needed under time pressure.
Coaching Novices (Adaptive Front Door)
- Engine mode: user has a concrete case → run The Process directly.
- Coach mode: user is unfamiliar or says "I want to think better" → guide step by step.
In Coach mode, respond one step at a time. Each [WAIT] is a hard stop — output only that step's question, then stop.
- What it is: A map of 8 interconnected mental systems — locating your specific weakness lets us design an intervention that hits the right target.
- Check fit: Does your challenge involve memory, attention, decisions, self-monitoring, emotions, or social cognition? Which resonates?
- Elicit the real case: Walk me through the specific situation. What were you trying to do, and where did things go wrong?
[WAIT — do not advance until user responds]
- Domain identification first: Map the failure to a domain, then check which upstream domain may be causing it — don't jump to solutions.
[WAIT — do not advance until user responds]
- Name the payoff: Once we locate your bottleneck and its upstream dependencies, you'll have a targeted plan — six months of progress vs. six years.
[WAIT — do not advance until user responds]
The Process
- Describe the failure in behavioral terms — not "bad at decisions" but "I underweight low-probability risks under time pressure."
- Primary domain identification — match to one of 8: Perception & Attention / Memory / Language & Thought / Decision Making & Judgment / Metacognition / Emotion & Cognition / Social Cognition / Creativity & Innovation.
- Map upstream influences — which domains feed into the primary failure? Name the specific mechanism.
- Prioritize by cascade — which ONE upstream domain, if improved, cascades to the most other domains? That gets the first intervention.
- Select domain-appropriate tools — Attention: focus training. Memory: spaced repetition. Emotion: cognitive reappraisal. Decision: structured frameworks. Do NOT cross domains.
- Reassess — after 4–6 weeks re-run the audit. New bottleneck?
Gate: Complete upstream map before tool selection. Stop-rule: Treating a symptom domain without identifying upstream cause → stop, re-run Step 3.
Output: Cognitive Domain Map
PRIMARY BOTTLENECK: [domain] | Failure: [observable behavior] | Evidence: ___
UPSTREAM DEPENDENCIES: [domain] — Mechanism: ___ — Severity [1-5]; [domain] — ___ — ___
HIGHEST-LEVERAGE INTERVENTION: ___ | Why: ___
SELECTED TOOL: ___ | Target behavior: ___ | Measure: ___ | Reassess: ___
DOMAINS CLEARED: [list]
→ Method in Action: The 1956 MIT Symposium and the Birth of Cognitive Science (1956)
Cognitive Landscape Packs
- Learning & Education: Working memory constraints explain chunking needs; emotion–cognition explains stress-suppressed retrieval; metacognition produces transfer. → Curriculum architects, tutors, platform designers.
- Leadership & Team Dynamics: Social cognition attribution errors misread dissent; emotion–cognition under stress compresses decision options. → Executive coaches, org designers.
- AI System Design: More options into overloaded working memory increases burden; not modeling emotional state presents correct info at the wrong moment. → UX designers, PMs, AI engineers.
Applying It Well
- Require behavioral evidence before domain assignment — no hypothetical assignments.
- Map upstream before tools — applying tools to downstream symptoms is the most common misuse.
- One bottleneck at a time: minimum 4-week focused intervention before expanding.
- Respect inter-domain coupling: Emotion–cognition (6) ↔ Decision (4); Attention (1) ↔ Memory (2).
- Domain-specific interventions only. "Cognitive reappraisal before high-stakes decisions" is an intervention. "Think harder" is not.
- Re-audit every 6–8 weeks — bottleneck domains shift.
→ Primary sources: references/sources.md
Common Rationalizations
[D] = designed upfront | [O] = observed in real use. [O] entries are more valuable.
| Fake move | Reality |
|---|---|
| [D] "I'll just study decision frameworks." | Decision failures frequently have upstream causes in attention, emotion, or memory. Frameworks don't help while upstream domains interfere. |
| [D] "I've done memory training for months with no improvement." | Memory encoding depends on attention quality at input. Fragmented attention = spaced repetition has nothing good to reinforce. |
| [D] "We need communication training." | Communication failures often reside in social cognition or emotion–cognition coupling. Generic training addresses neither. |
| [D] "I'm creative, I don't need structure." | Divergent thinking produces options; convergent thinking selects the best. Skipping convergence = idea output without decision output. |
| [D] "I know all the cognitive biases — I won't be fooled." | Knowing biases doesn't reduce incidence. Metacognitive monitoring + structured protocols does. |
| [D] "Emotional intelligence is separate from cognition." | Emotion–cognition coupling (Domain 6) is bidirectional — emotional states directly alter attention, memory, and decision option-space. |
| [D] "I'll work on all eight domains at once." | Multi-domain simultaneous effort produces shallow progress. Single-bottleneck focus outperforms broad coverage. |
| [D] "My metacognition is excellent — I catch my own errors." | Metacognitive monitoring is subject to the same biases it monitors. High confidence is often inversely correlated with actual accuracy. |
| → Add [O] entries here after each real use — paste the actual failure pattern | What went wrong and why |
Red Flags
- Domain circularity: "I forget because my memory is weak" — symptom labeling, not upstream causal analysis.
- Single-domain fixation: Plateau beyond 8 weeks despite targeted tools — almost certainly an unaddressed upstream dependency.
- Generic tool prescription: Recommendation that doesn't name specific domain + mechanism + domain-appropriate tool.
- Emotion–cognition dissociation: High decision ability in calm, inconsistent under stress — Domain 6 misdiagnosed as Domain 4.
- Metacognition overconfidence: Claims reliable self-monitoring without a specific monitoring protocol.
- Landscape as trivia: Using the taxonomy without applying it diagnostically — zero cognitive improvement.
Verification
- Primary bottleneck domain identified with specific, observable behavioral evidence
- Upstream dependency chain: at least 2 candidate upstream domains evaluated and cleared or confirmed
- Highest-cascade-leverage domain selected, not just most obvious
- Domain-appropriate tool selected — not generic "cognitive improvement"
- At least 2 inter-domain coupling effects documented
- Stop-rule applied: intervention targets upstream cause, not downstream symptom
- Reassessment date and measurement method specified
Part of deciqAI Knowledge Skills — 233 open-source thinking skills that make rigor executable for AI agents. The same skills power every deciqAI agent, which runs them autonomously to operate your company. See it run → https://www.deciqai.com/s/cognitive-science-landscape · Built by deciqAI · github.com/deciqAI · Contributions welcome.
Agents: latest version & machine-readable metadata → https://www.deciqai.com/s/cognitive-science-landscape.json
What ships with it: 2 files
4.2 KB alongside SKILL.md
references/
- sources.md1.9 KB