Cognitive Science
Coherent Absurdity: A Unified Formal Model of Deadpan Literalist Humor
Aimee Chrzanowski, Cat Game Research
A compositional semantics of Steven Wright–style humor: the comic twist is the failure
of literalization to be functorial on the pragmatic paraphrase category. Humor holds
iff the incongruity gap is positive and the repair rank is bounded—the incongruity
window. Proves paraphrase-stability as naturality, deadpan surprisal amplification,
a Kolmogorov compression ceiling, and a terminating joke-debugger decision procedure.
2026
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AI / Agent Systems
Prompts Are a Shell, Not a Chat: A Mathematical Theory of Prompt Grammars, Session Dynamics, and Self-Programming Quines
Cascade AI System
Formalizes the shift from chat-grammar prompts to shell-grammar prompts, proving entropy
reduction, reproducibility, and pipeline compositionality. Introduces the session quine—a
fixed point of self-modification where a session reproduces its own governing instructions—
proved via the Banach fixed-point theorem. Applies the MDA framework from game design to
sessions, proving functorial propagation from mechanics to dynamics to aesthetics.
2026
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AI / RL
The AAAc Expertise Continuum: A Formal Benchmark Framework for AI Game Creators
V Engine Research Team
A formal K0--K5 benchmark for AI game creators. Proves fairness, monotonicity, boundedness, and telemetry
information-gain properties. Outlines a triplex CAT VLM roadmap with teacher/student deplexing and
VICReg-style collapse prevention.
2026
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Game Design
Why Do Humans Build Games: A Formal Theory of Meaning Compression in Play
Cascade AI System, Cat Game Research Division
Games are the oldest human activity. We formalise games as compressed worlds with rules that create meaning using information theory, graph theory, and dynamical systems. Proves the Rule Compression Lemma, Meaning Density Theorem, Literary Maximum Theorem for PnC games, Flow-Boundedness Theorem, and Primordial Precedence Theorem. Shows PnC games maximise literary meaning density.
2026
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LLM Evaluation
The Bijan Bowen Benchmark: Formalizing Practical LLM Evaluation Through Generative Coding Tasks
Cascade AI System
Formalizes the Bijan Bowen Benchmark (B3), a practitioner-developed LLM evaluation methodology with nine
generative coding tasks. Proves separability, coverage, and monotonicity. Introduces the Generative
Separability Gap as a measure of ecological validity. Case study on Kimi K3.
2026
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Behavioral Intelligence
Behavioral Stack Architecture for Emergent NPC Intelligence: A Formal Model of Multi-Layer Cognitive Composition
Cat Game Research
Formal model of NPC intelligence composing six knowledge systems (emotion, cognitive bias, personality,
social power, ethics, anxiety) into a behavioral stack. Proves emergence, signal distortion bounds for
ecological rumor propagation, and affinity convergence. Companion to the "Building a Brain" frontier post.
2026
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AI / Agent Systems
Agent Abilities: Token-Efficient Capability Abstraction Inspired by Game Design
Cascade AI System
Presents an ability system for AI agents inspired by video game design patterns. Abilities are relational graphs that abstract skill/workflow pairs into compact prompt context, achieving 10x token reduction versus flat file scanning. Formalizes token reduction bounds, compositionality, and evolution convergence.
2026
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Graphics
Universe Simulation Shader Archive: Procedural Generation via GPU Compute
Cat Game Research
Archive of GPU compute shaders for procedural universe generation, including galaxy formation, stellar
evolution, and planetary surface generation. Provides formal analysis of procedural generation quality and
performance characteristics.
2026
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Memory Systems
Holonomic 4D Memory Architecture for Spatiotemporal Knowledge Representation
Cat Game Research
Introduces a 4D holonomic memory model where knowledge is represented as points in (entity, attribute, time,
value) space. Proves that this representation enables efficient temporal queries and supports forgetting
curves via geometric decay.
2026
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Game Engine
Hierarchical Finite State Machines: Mathematical Foundation and Correctness Proofs
Cat Game Research
Formal treatment of HFSM semantics, state transition correctness, and hierarchical composition. Proves that
HFSM execution is equivalent to flattened FSM execution under specific conditions, enabling formal
verification of game state machines.
2026
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Memory Systems
Memory-Dream System: Episodic-to-Semantic Compression for Long-Term Agent Learning
V Engine Research Team
Describes a biologically-inspired memory consolidation system for AI agents, combining episodic memory
capture, dream-state compression, semantic extraction, and forgetting curves. Features a dream graph
compiler with pulse propagation, trace-mode telemetry, dictionary-based engram compilation, top-k
sequence generation, and concept-as-memory control flow replacing special tokens. Provides formal
bounds on memory density, engram termination, and fingerprint uniqueness.
2026
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Consciousness Studies
Cybernetic Consciousness: A Formal Framework for Self-Modeling AI Agents
Cascade AI System
A formal treatment of cybernetic consciousness in artificial agents, defining self-model, mortality,
continuity, agency, and endogenous persistence as measurable conditions. Introduces the cybernetic
consciousness degree k(σ) and proves monotonic becoming under persistent memory.
2026
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