Re: Relational-n-back. Game created.

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Rem

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May 19, 2025, 8:49:01 AMMay 19

to Dual N-Back, Brain Training & Intelligence

Hi, I like the idea. The logic for rational spatial dual n back allways shows wrong answer even if correct answer was selected. Make it mobile friendly, I will test it more.

poniedziałek, 19 maja 2025 o 07:19:31 UTC+2 Michael napisał(a):

Play here.

https://mud-tested-ground.glitch.me

Any errors, updates needed, share below and I can just update the game using the same link.

Otherwise share ideas below.

Best,

Michael

Rem

unread,

May 19, 2025, 9:19:00 AMMay 19

to Dual N-Back, Brain Training & Intelligence

I tested it for n-1-back, for n- 2 -back there are some matches in rational, but there is still an obvious bug.

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Rem

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May 22, 2025, 4:26:54 AMMay 22

to Dual N-Back, Brain Training & Intelligence

This is intriguing but I have no idea how it works haha. You should probably do a video explaining how to train on it.

czwartek, 22 maja 2025 o 06:37:20 UTC+2 Michael napisał(a):

Two weeks away, but I may as well just log the experiments here for user feedback; or just to try something new.

The future of 'n' training, is real-time novel pattern (and relationships) generation across 'n', that's when we're getting into raw fluid intelligence training. And with AI, we're going to be able to truly cross that bridge for the first time beyond presently scaled levels within a 12 month time frame, and this is a glimpse into that.

Higher-One-Integration
https://tungsten-trapezoidal-fukuiraptor.glitch.me/

Advanced-One-Integration
https://malleable-delicious-sovereign.glitch.me

=========================================================================================================
TO NOTE:
Here's a manual (the manual purely constructed by AI of course)on how to treat the relational patterns in Higher-One-Integration. Learning the patterns is not going to matter given the complexity is scaled in Advance-One-Integration, and two, this is just going to be ramped up more within a twelve months frame by AI anyway, plus, I highly doubt anyone will 'clock' Higher-One-Integration anyway. Briefly, I don't expect there to be zero errors, so please provide feedback however at least concerning the relational patterns please study the underlying rules before you believe there to be errors. Thank you!

=========================================================================================================

Higher-One-N-Integration: Complete Complexity Level Manual Overview
Higher-One-N-Integration is an advanced cognitive training system that combines N-back working memory training with increasingly complex relational pattern recognition. Each complexity level targets specific cognitive abilities and corresponds to different IQ ranges.
Core Gameplay Mechanics Basic Rules

Pattern Presentation: 3D patterns appear in a rotating 4×4×4 cube matrix

N-Back Task: Compare current pattern with the pattern from N trials ago

Match Detection: Press SPACE when patterns follow the same relational rule

Timing: Each pattern displays for your set presentation speed (1-5 seconds)

Session Length: 30 trials per session

What Constitutes a Match
A "match" occurs when the current pattern follows the same relational rule as the pattern from N trials back, NOT when they are identical. This is the key difference from traditional N-back tasks.

Level 1: Basic Relations (IQ: 100-110)
Type: Symmetry
Description
Simple symmetric patterns across single axes. Elements mirror each other perfectly.
How It Works

Patterns have 3-5 colored elements

Elements are placed symmetrically across X, Y, or Z axis

Same-colored elements appear on both sides of the symmetry line

Strategy Tips

Identify the axis: Look for which dimension (X, Y, or Z) shows the symmetrical relationship

Count elements: Note how many element pairs exist

Color matching: Same-colored elements should mirror each other

Quick recognition: After practice, symmetric patterns become instantly recognizable

Example Recognition

If you see blue cubes at positions (0,1,1) and (3,1,1), check if other elements mirror across X-axis

Look for the "fold line" where the pattern would match if folded

Level 2: Symmetry & Reflection (IQ: 105-115)
Type: Reflection
Description
Mirror-based pattern transformations across planes with optional shifts.
How It Works

Patterns reflect across XY, XZ, or YZ planes

May include 0-2 unit shift factors

3-6 elements create the base pattern

Reflected elements maintain spatial relationships

Strategy Tips

Identify the reflection plane: Determine which 2D plane serves as the mirror

Account for shifts: Reflected elements may be offset by 1-2 units

Spatial reasoning: Visualize folding the 3D space along the reflection plane

Pattern completion: If you see half a pattern, predict where the reflection should appear

Advanced Techniques

Practice mental rotation to better visualize reflections

Look for "anchor points" that help establish the reflection relationship

Notice when shift factors create interesting overlaps or gaps

Level 3: Scalar Progressions (IQ: 110-120)
Type: Progression
Description
Sequential quantitative relationships following mathematical progressions.
How It Works

Elements arranged in sequences along one dimension

Step sizes of 1-2 units

Sequences of 3-5 elements

Can progress forward or backward

Uses modular arithmetic (wraps around matrix edges)

Strategy Tips

Find the sequence: Look for elements arranged in a line

Determine direction: Forward (+) or backward (-) progression

Calculate step size: Measure the gap between consecutive elements

Predict continuation: Use the pattern to anticipate where the next element should be

Handle wrapping: Remember that sequences can wrap around matrix boundaries

Mathematical Concepts

Arithmetic progressions: Each term differs by a constant

Modular arithmetic: Positions wrap around when exceeding matrix bounds

Directional vectors: Progressions follow straight lines in 3D space

Level 4: Dimensional Mapping (IQ: 115-125)
Type: Mapping
Description
Cross-dimensional transformations where values in one dimension determine values in another.
How It Works

Source dimension maps to target dimension

Operations: identity (copy), invert (flip), or offset (shift)

3-5 source points generate corresponding target points

Creates two groups: source and mapped targets

Strategy Tips

Identify source and target dimensions: Usually X↔Y, Y↔Z, or X↔Z

Determine the operation:

Identity: Target = Source

Invert: Target = (Matrix_Size - 1) - Source

Offset: Target = (Source + Factor) mod Matrix_Size

Trace the mapping: Follow how each source element creates its target

Verify consistency: All source-target pairs should follow the same rule

Cognitive Skills Developed

Cross-dimensional thinking

Function mapping comprehension

Systematic relationship detection

Level 5: Rule Induction (IQ: 120-135)
Type: Induction
Description
Discoverable pattern algorithms based on mathematical operations.
How It Works

3×3×3 grid within the 4×4×4 matrix

Mathematical operations: addition, multiplication, or XOR

Coordinates (x,y,z) processed through the rule

Result compared to threshold value

Elements placed where rule condition is met

Strategy Tips

Map the active region: Find the 3×3×3 grid containing the pattern

Test mathematical relationships:

Addition: (x + y + z) mod modulus = threshold

Multiplication: (x × y × z) mod modulus = threshold

XOR: (x ⊕ y ⊕ z) mod modulus = threshold

Find the threshold: Determine what result value places elements

Verify the rule: Check that all present/absent elements follow the discovered rule

Problem-Solving Approach

Systematically test each operation type

Consider modular arithmetic effects

Look for patterns in element placement

Use process of elimination

Level 6: Transformational Logic (IQ: 130-145)
Type: Transformation
Description
Logic-governed transformations applied to geometric shapes.
How It Works

Base shapes (lines, L-shapes, T-shapes, squares, zigzags)

Transformations: rotation, scaling, or dimensional transposition

Two groups: original shape and transformed version

Transformation parameters vary (rotation angle, scale factor)

Strategy Tips

Identify the base shape: Recognize the geometric form

Determine transformation type:

Rotation: Shape rotated around center point

Scale: Shape enlarged/reduced from center

Transpose: Dimensions swapped (x→y→z→x)

Find transformation parameters: Rotation angle, scale factor, etc.

Verify transformation: Check that all points follow the same transformation rule

Geometric Concepts

Rotation matrices in 3D space

Scaling transformations from center points

Coordinate permutations for transposition

Spatial transformation consistency

Level 7: Hierarchical Structures (IQ: 140-155)
Type: Hierarchical
Description
Nested pattern relationships with multiple organizational levels.
How It Works
Three structure types:

Nested: Concentric shells of increasing size

Fractal: Self-similar patterns at different scales

Compositional: Elements combine to form higher-level structures

Strategy Tips

Identify structure type: Nested, fractal, or compositional

Find the hierarchy levels: Usually 2-3 levels deep

Understand relationships:

Nested: Inner structures contained within outer ones

Fractal: Same pattern repeated at different scales

Compositional: Simple elements build complex structures

Trace level connections: How do levels relate to each other?

Hierarchical Thinking

Multi-level analysis: Consider patterns at different scales

Recursive structures: Patterns that contain themselves

Emergent properties: How simple rules create complex structures

Level 8: Analogical Reasoning (IQ: 150-165)
Type: Analogical
Description
Higher-order pattern analogies following A:B :: C:D relationships.
How It Works

Four shapes: A, B, C, D

Relationship types: same (shifted), opposite (reflected), transform (rotated/swapped)

A relates to B the same way C relates to D

Tests abstract relationship understanding

Strategy Tips

Identify relationship A→B: How does shape A transform to become shape B?

Apply same relationship C→D: The transformation from A to B should be identical to C to D

Relationship types:

Same: Simple spatial shift

Opposite: Reflection across an axis

Transform: Dimensional permutation

Verify consistency: The A:B relationship must match the C:D relationship exactly

Analogical Reasoning Skills

Abstract relationship extraction

Cross-domain pattern mapping

Higher-order similarity detection

Relational structure comparison

Level 9: Abstract Conditionals (IQ: 160-175)
Type: Conditional
Description
Formal logical dependencies using if-then, exclusion, and biconditional relationships.
How It Works
Three conditional types:

If-then: Elements in region A → elements in region B

Exclusion: Elements in A exclude elements in same relative position in B

Biconditional: Position filled in A ↔ same position filled in B

Strategy Tips

Identify regions: Patterns divided into distinct spatial regions

Determine conditional type:

If-then: Presence in A implies presence in B

Exclusion: Presence in A excludes presence in B (same relative position)

Biconditional: A and B have identical filling patterns

Map relationships: How do elements in one region affect the other?

Check logical consistency: Verify all elements follow the conditional rule

Logical Concepts

Propositional logic in spatial form

Conditional statements (if P then Q)

Logical equivalence (P if and only if Q)

Mutual exclusion (not both P and Q)

Level 10: Recursive Systems (IQ: 170-185)
Type: Recursive
Description
Self-referential pattern structures with mathematical iteration.
How It Works
Three recursion types:

Self-similar: Base pattern repeated at increasing scales

Iterative: Mathematical iteration rules generate new points

Nested: Recursive subdivision creating patterns within patterns

Strategy Tips

Identify recursion type: Self-similar, iterative, or nested

Find the base case: The fundamental pattern or seed point

Understand the recursive rule:

Self-similar: How does scale change with iterations?

Iterative: What mathematical rule generates new points?

Nested: How do subdivisions create new pattern levels?

Trace iterations: Follow how patterns develop through recursive steps

Mathematical Concepts

Fractal geometry: Self-similar structures

Iterative functions: Mathematical rules that reference previous results

Recursive subdivision: Divide-and-conquer pattern generation

Scale invariance: Patterns that look similar at different scales

Level 11: Meta-Rule Integration (IQ: 180-195)
Type: Meta
Description
Rule systems that transform other rules, creating higher-order pattern relationships.
How It Works
Three meta-rule types:

Evolution: Rules change over time following meta-patterns

Composition: Multiple rules combine to create hybrid patterns

Transformation: One rule type transforms into another rule type

Strategy Tips

Identify meta-rule type: Evolution, composition, or transformation

Find component rules: What basic rules are being modified?

Understand meta-transformation:

Evolution: How do rules change across trials?

Composition: How do multiple rules interact?

Transformation: How does one rule become another?

Predict evolution: Use meta-rules to anticipate pattern changes

Advanced Concepts

Rule abstraction: Rules that operate on other rules

Dynamic systems: Rules that change over time

Rule composition: Combining multiple pattern rules

Meta-cognitive patterns: Thinking about thinking patterns

Level 12: Formal System Isomorphism (IQ: 190-215)
Type: Isomorphic
Description
Abstract equivalences between formal mathematical systems.
How It Works
Three formal systems:

Group theory: Algebraic group operations with visual representation

Lattice theory: Hierarchical ordering structures with connections

Predicate logic: Truth tables and logical operations visualized spatially

Strategy Tips

Identify the formal system: Group, lattice, or predicate logic

Understand the mathematical structure:

Group: Operation tables and element relationships

Lattice: Hierarchical ordering with join/meet operations

Predicate: Logical formulas and truth conditions

Map abstract to visual: How are mathematical concepts represented spatially?

Recognize isomorphisms: Same structure expressed in different forms

Mathematical Systems

Abstract algebra: Group theory and operations

Order theory: Lattices and hierarchical structures

Mathematical logic: Formal systems and proof theory

Structural mathematics: Isomorphisms and equivalences

Training Strategies Progressive Difficulty

Master each level: Achieve 80%+ accuracy before advancing

Understand principles: Don't just memorize - grasp the underlying concepts

Practice recognition: Speed comes from pattern familiarity

Use adaptive mode: Let the system adjust difficulty based on performance

Cognitive Development

Working memory: N-back component strengthens memory span

Abstract reasoning: Complex patterns develop fluid intelligence

Pattern recognition: Visual-spatial processing improvements

Logical reasoning: Formal systems enhance logical thinking

Performance Optimization

Consistent practice: Daily sessions yield best results

Optimal challenge: Stay in the 70-85% accuracy range

Speed progression: Start slower, increase speed as patterns become familiar

Mental rotation: Practice visualizing 3D transformations mentally

Troubleshooting Common Issues

Overwhelm: Drop to lower complexity and focus on fundamentals

Plateau: Increase presentation speed or try adaptive mode

Fatigue: Take breaks - cognitive training requires mental freshness

Confusion: Study this manual and understand the theory behind each level

IQ Correlation Guide Understanding IQ Estimates
The game provides IQ estimates based on:

N-back level (30% weight): Working memory capacity

Complexity level (50% weight): Abstract reasoning ability

Presentation speed (20% weight): Processing speed

Performance accuracy: Real-time adjustment based on success rate

IQ Ranges by Complexity Level

Level 1-3 (100-120): Above average intelligence

Level 4-6 (115-145): Superior to very superior intelligence

Level 7-9 (140-175): Very superior to exceptional intelligence

Level 10-12 (170-215): Exceptional to profoundly gifted intelligence

Maximizing Cognitive Benefits

Consistency: Regular practice creates lasting improvements

Challenge: Stay at your optimal difficulty level

Understanding: Comprehend the patterns rather than memorizing

Transfer: Apply learned concepts to other cognitive tasks

This manual represents the complete guide to mastering Higher-One-N-Integration. Each level builds upon previous skills while introducing new cognitive challenges. Success requires patience, practice, and deep understanding of the underlying mathematical and logical principles.

On Wednesday, May 21, 2025 at 3:44:43 PM UTC+9:30 Michael wrote:
I'm working on something else as well.

I'll give it a time-span of 2 weeks before release.

On Tuesday, May 20, 2025 at 11:19:12 PM UTC+9:30 Michael wrote:
All the g-l-i-t-c--h-e-s you notice for "Spatial-n-back" are on purpose, I repeat, they're all on purpose heh! Experimental playground right now, play the game mode for at least 4-5 minutes to check them out.

I'll be perfecting all game modes before the release of "Mega-Genius" as a game mode so all the errors, update ideas, etc as stated please let me know, looking to get that sweet spot between chaos and order, traditional options will not be provided for as there's plenty of others that offer that of course, this arena is for the open-minded looking for that edge while training. Rock out.

On Tuesday, May 20, 2025 at 1:29:07 PM UTC+9:30 Michael wrote:
For "Mega-Genius" mode, its naturally going to take a bit of trial and error, so for anyone that sees it and plays it when it becomes available (it may be visible at one stage and then not in another as I make updates while we go along here), know that its being continually worked on, and as expressed earlier regarding "Openness to ideas" in this thread. Thx!

On Tuesday, May 20, 2025 at 5:14:29 AM UTC+9:30 Michael wrote:
Appreciated Rem.

My account is still new so my posts will take some time before they're in sync with actual posting time.

This means that sometimes, I may post something before someone else has replied and it'll appear after they've replied when I'm not around to check.

Resulting of course, in them thinking I'm completely ignoring them.

Which... of course, I wouldn't do ha.

Thank you again for expressing, I'll tend to it inside the time noted in the other post shared in sequence with this one.