Bazfin is concerned with the study of architectures in which coordinated behaviour arises without central control.
The focus is on multi-agent systems, blackboard and workspace models, distributed decision processes, and related frameworks. These architectures are examined with respect to how they support coordination, allocation of attention, stability, and breakdown.
Human and artificial minds, social institutions, and economic systems are treated as distinct domains in which similar architectural problems recur. The work proceeds by comparison, with attention to both shared structures and points of divergence.
Financial markets are considered as one empirical case. They provide a data-rich environment in which decentralised coordination, signalling, feedback, and instability can be observed. Markets are used as examples rather than as the organising subject of the site.
The project is motivated by the view that systematic architectural comparison across domains has received relatively limited attention in existing research, despite its relevance to the study of cognition, social organisation, and complex systems.
The site is organised around the following strands:
- Architectures
Multi-agent systems, blackboard and workspace models, distributed control, emergence, and failure modes. - Domains
Minds (human and artificial), societies and institutions, and markets as decentralised systems. - Comparative Studies
Cross-domain analysis of shared structures and limits of analogy. - Case Studies
Selected empirical examples used to ground architectural questions.
Material on short-term trading and market practice is maintained separately and does not form part of the core research programme.
Bazfin is intended as a research-oriented resource, focused on structure and comparison rather than application or advice.