Series B investigates how cognition emerges and operates across multiple organisational scales, from individuals and institutions to artificial intelligence systems and distributed governance environments. Research within this Series explores organisational learning, collective intelligence, institutional memory, cognitive networks and adaptive decision-making, providing many of the theoretical and computational models that support the broader research programme.
Research Lines
B1 — Individual and Collective Cognition
B2 — Institutional Cognitive Architectures
B3 — Distributed Intelligence Systems
B4 — Human-AI Cognitive Collaboration
B5 — Organisational Learning Architectures
WP-B-L02-001 — Institutional Cognitive Architecture Model
Institutions increasingly operate in environments characterised by distributed expertise, expanding informational complexity, technological mediation and problems whose cognitive demands exceed the capacity of individual decision-makers. The theory of Institutional Cognition addresses this condition by examining how processes such as perception, memory, knowledge integration, reasoning, deliberation, decision-making, coordination, feedback and learning can become distributed across institutional...
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WP-B-L01-001 – Cognitive Architectures of Institutions
Institutional Cognition begins by recognising that institutions are capable of organised cognitive activity. Our preceding Working Paper established the conceptual foundations of this proposition by demonstrating that institutions may be understood as cognitive systems rather than solely as legal, political or administrative organisations. The present publication advances the theory by reconstructing the internal architecture through...
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