A comprehensive walkthrough of Cognotik, an open-source AI-powered development platform that uses declarative Markdown files with YAML frontmatter to orchestrate complex workflows — from README generation and web research pipelines to self-maintaining codebases.
Explores the 'Binary Coded Layered Automata,' a hybrid simulation merging Langton's Ants and Conway's Game of Life to model neural plasticity and electrochemical activity through distinct temporal layers.
Comprehensive software design document for a voice-centric AI agent system enabling developers and data scientists to interact through natural language voice commands for software development, data analysis, and project management workflows.
A novel computational architecture combining multi-agent substrate modification with cellular automata evolution to model neural development and create self-organizing computational networks.
A neo-Jungian framework exploring human cognition through semi-autonomous cognitive agents emerging from specialized neural subsystems, with applications to dissociative disorders and AI system design.
Agent-based computational model simulating the emergence, propagation, and evolution of flood myths as cultural memories of Pleistocene environmental catastrophes
A novel neurobiological emulation system using live ants as computational agents within a 3D sphere-packing lattice, where entropy gradients create dynamic gravitational fields.
A novel computational architecture combining multi-agent systems and cellular automata to model neural development and create self-organizing computational networks.
A technical framework for type-safe agent orchestration with compositional contracts and resource-aware planning
A radical ontological framework proposing reality consists entirely of decision-making agents in causal set structures, dissolving traditional subject-object distinctions.
Technical specification for an autonomous research evolution platform that treats research artifacts as living, evolving entities
A novel method for validating AI conceptual knowledge through multi-agent Socratic dialogue and statistical analysis of reconstruction attempts.
A comprehensive framework for developing artificial civilizations through cognitive ecology, exploring consciousness emergence at civilization scale and post-human intelligence alignment.
A novel hierarchical ensemble architecture for modeling semantic drift as a dynamic, multi-agent ecosystem with specialized interpretive agents.
Framework for using AI agents to identify exceptional technical talent overlooked by traditional hiring processes, with focus on neurodivergent and FOSS contributors.
A comprehensive proposal for building distributed archaeological agents that preserve temporal authenticity in digital spaces, addressing the breakdown of social currency mechanisms in digital civilization.
An in-depth analysis of the actor pattern in AI interaction architectures, exploring computational boundaries and intelligent design.
Experimental framework for studying belief evolution in small group systems using LLM agents, focusing on intransitive loops, coalition dynamics, and pivot agent effects in 3-5 agent configurations.
A parametric metacognitive architecture for optimizing foundation model A parametric metacognitive architecture for optimizing foundation model interactions through explicit cognitive requirement specification
