Complexity

To be developed...

The hypothesis is that the old socioeconomic order is collapsing because it cannot respond to the increased complexity of inter-agent processes. In other words, our institutions have become inadequate to deal with current processes. As a corollary of this hypothesis is that p2p is growing because it can better process complexity.

Thus, complexity becomes the most important pillar to think about p2p.

• Can drive the discovery of new p2p applications, by looking at current processes that are broken by complexity.
• Can drive design of p2p processes and infrastructure.

Santa Fe Institute of Economics

Has introduced complexity science to economics.

The Santa Fe Institute has not always used the term peer production explicitly, but its frameworks in complexity economics, evolutionary game theory, and commons governance have strongly influenced the theoretical underpinnings of P2P and commons-based peer production. Researchers like Brian Arthur, Stuart Kauffman, Samuel Bowles, and Herbert Gintis provide the foundations that thinkers like Yochai Benkler built upon.

Key Insights from the Literature

• Complex Adaptive Systems as Peer Production Models: SFI researchers frame peer production within the lens of complex systems — emphasizing decentralized decision-making, emergent order, and self-organization. This provides strong theoretical grounding for understanding why P2P systems are resilient.
• Commons and Information-Sharing Networks: The commons, especially digital and knowledge commons, are modeled through evolutionary game theory, network analysis, and simulations of cooperation. Many SFI papers connect Ostrom-style commons governance with computational economics.
• Innovation, Open Science, and Knowledge Networks: Work from SFI links peer production to scientific discovery, open innovation, and collaborative knowledge creation. This highlights the economic implications of open-source, Wikipedia-like models.

Notable Papers & Reports

• Arthur, W. B. (1999). Complexity and the Economy. Science, 284(5411), 107–109. [DOI:10.1126/science.284.5411.107] - Introduces complexity economics — foundational for SFI’s later studies on decentralized systems and peer coordination.
• Page, S. E. (2007). The Difference: How the Power of Diversity Creates Better Groups, Firms, Schools, and Societies. Princeton University Press. - Explores diversity as a driver of collective intelligence and collaborative production — key to understanding peer production.
• Holland, J. H. (1998). Emergence: From Chaos to Order. Perseus. - A core SFI text on emergent order, frequently applied in studies of commons-based peer production.
• Benkler, Y. (2002). Coase’s Penguin, or, Linux and the Nature of the Firm. Yale Law Journal, 112(3), 369–446. - While not an SFI paper, this highly cited work is directly aligned with SFI’s complexity framing, and Benkler has collaborated with SFI networks.
• Arthur, W. B., Durlauf, S. N., & Lane, D. A. (Eds.). (1997). The Economy as an Evolving Complex System II. Addison-Wesley. - SFI volume explicitly addressing decentralized coordination, networked agents, and commons-like systems.
• Bowles, S., & Gintis, H. (2002). Social Capital and Community Governance. Economic Journal, 112(483), F419–F436. - Directly tied to SFI research on community-based resource management, cooperation, and commons governance.
• Kauffman, S. A. (1993). The Origins of Order: Self-Organization and Selection in Evolution. Oxford University Press. - Influential in shaping SFI’s approach to emergent peer systems and adaptive networks.
• Bowles, S., & Choi, J. K. (2019). The Neolithic Agricultural Revolution and the Origins of Private Property. Journal of Political Economy, 127(5), 2186–2228. - Connects early commons and property regimes to long-term evolutionary dynamics of cooperation.
• Arthur, W. B. (2015). Complexity and the Economy. Oxford University Press. - Updated synthesis of complexity economics with implications for commons-based production.
• Allen, P. M., & McGlade, J. M. (1986). Dynamics of Discovery and Exploitation: The Case of the Scotian Shelf Groundfish Fisheries. Canadian Journal of Fisheries and Aquatic Sciences, 43(6), 1187–1200. - Early SFI-inspired model of resource commons and cooperative exploitation.

How Santa Fe Institute (SFI) research shaped the evolution of commons-based peer production theory

The Santa Fe Institute never framed its research in “P2P economics” terms, but its contributions on self-organization, complexity economics, and commons governance have been foundational for later scholars who did — especially Yochai Benkler and Michel Bauwens.

• 1980s–1990s → Complexity, self-organization, and resource commons models (Allen, Kauffman, Holland, Arthur).
• Late 1990s–2000s → Application of complexity economics and governance theory (Bowles, Gintis) feeding into Benkler’s peer production framework.
• 2000s–2010s → Integration with diversity, collective intelligence, and evolving property regimes (Page, Bowles & Choi).

What SFI has done

SFI’s economics research emphasizes complex adaptive systems, emergent order, network effects, and governance of commons (Arthur, Kauffman, Bowles, Gintis, Holland).

These works provide the theoretical backbone for understanding decentralized, P2P-like coordination — but they do not explicitly call it "peer-to-peer economics" or "commons-based peer production."

What SFI has not done

No SFI working papers, journal articles, or books use the terms P2P economics or commons-based peer production explicitly.

This conceptual language comes mainly from Benkler, Bauwens, Kostakis, Scholz, and Bollier, outside SFI, though influenced by SFI’s complexity economics.