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Cody Moser @culturologies.co · 20/07/2026

When you ask a category theorist why you need to use category theory specifically for any specific thing.

Cody Moser @culturologies.co · 30/12/2025

Such decompositions can be applied invariant to a given system's goals or end-states: using a recently published "piano mover" task comparing groups of ants and humans at the same task, we show that forms of information processing are a more useful means for decomposing collectives than their goals.

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Cody Moser @culturologies.co · 30/12/2025

Tying these different intelligences into known concepts of emergence, we argue integrated information decomposition can help classify behavior of collectives into different emergent regimes; in aggregate systems, upward causation dominates; while in structural systems, downward causation dominates.

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Cody Moser @culturologies.co · 30/12/2025

Viewing these systems across these axes, we classify different collective phenomena into separate forms of collective intelligences: high IP, low GP aggregate intelligences; low IP, low GP statistical intelligences; low IP, high GP structural intelligences; and high-high synergistic intelligences.

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Cody Moser @culturologies.co · 30/12/2025

Using Wimsatt's rules of aggregativity, we propose consilience between these phenomena is possible by examining their information processing capabilities across two dimensions: individual processing of group-level information (IP) and group-level sensitivity to individual arrangements (GP).

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Cody Moser @culturologies.co · 30/12/2025

A core issue with this emerging discipline is a lack of underlying principles for theoretical unification. While multiple phenomena are classified as collective intelligence (flocks, swarms, human organizations, and culture), it's unclear what theoretical binding such disparate systems have.

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Cody Moser @culturologies.co · 30/12/2025

My co-authors and I are happy to present our framework "Collective Intelligence as Collective Information Processing (CIP)." Here we propose decomposing different information processing mechanisms to unify disparate phenomena traditionally classified as "collective intelligence."

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Cody Moser @culturologies.co · 01/12/2025

You can check out the pre-print here: Moser, C., & Smaldino, P.E. (2025). Limit Cycles in Opinion Dynamic Networks with Competing Stubborn Agents. osf.io/preprints/so...

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Cody Moser @culturologies.co · 01/12/2025

Importantly, the length and complexity of these cycles is dependent on the path length of the network: in centralized networks, centrality is devalued such that multiple optimal positions emerge and agents spend more time chasing optimal positions in these cycles.

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Cody Moser @culturologies.co · 01/12/2025

Known as the counter-optimal stubborn agent placement problem, previous research has looked at the use of greedy algorithms for finding optimal positions in this NP-hard task. We find that as agents attempt to disrupt each other certain network configurations lead to limit cycles in agent position.

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Cody Moser @culturologies.co · 01/12/2025

We examine agent positioning strategies with repeated iterations: once a node has established its optimal influence over a network, we ask how counter-stubborn agents with opposite opinions can "disrupt" the influence of their counterpart.

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Cody Moser @culturologies.co · 01/12/2025

New pre-print with @psmaldino.bsky.social on an agent-based model of propaganda in online spaces. Using the voter model from physics, we simulate networks with stubborn agents (zealots) who do not change their opinions, asking about their optimal positioning for influencing the network.

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Cody Moser @culturologies.co · 25/07/2025

Cognitive scientists and computer science PhDs talking about David Marr:

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Cody Moser @culturologies.co · 14/07/2025

Not to resurrect overtrodden "AI art" discussions, but I think I'm closer to viewing the image on the left as AI-generated art than the image on the right. The fact the journal editors and authors missed it feels like a tremendous statement in itself.

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Cody Moser @culturologies.co · 08/05/2025

Theories of organizational structure emphasize different dimensions of managerial design, including span of control (Simon 1947), decision-making speed (Aswamenakul et al. 2025), task delegation (Moser & Smaldino 2022), and managerial monitoring (Zefferman 2023).

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Cody Moser @culturologies.co · 24/04/2025

In recent months, I’ve been working to quantify the history of philosophy utilizing tools developed in science of science. Our goal is to lay the groundwork for a science of philosophy, complementing meta-philosophy, meta-science, and philosophy of science. Check it out here:

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Cody Moser @culturologies.co · 24/04/2025

What are the distinguishing factors of vital and static periods of philosophy? Vital communities are marked by the emergence of highly central figures who compress conversational space. These thinkers reorient the structure of debate, reinventing periods through synthesis, integration, reformation.

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Cody Moser @culturologies.co · 24/04/2025

Vital and static communities do not differ in overall levels of disagreement, neither in static structure over time. What sets vital communities apart is not amount of disagreement, but its organization. In vital periods, disagreement is restructured into productive and generative conversation.

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Cody Moser @culturologies.co · 24/04/2025

We also ask how productive philosophical communities emerge? We find that while vital and static eras start with similar structure, vitality is marked by centralizing debate drawing diverse communities into a shared core of discussion.

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Cody Moser @culturologies.co · 24/04/2025

We distinguish between "vital" periods, marked by exploration, synthesis, and the emergence of new ideas, and "static" periods, which emphasize maintenance and repetition, finding that these are marked significantly by increased community integration in vital communities relative to static ones.

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Cody Moser @culturologies.co · 24/04/2025

Examining philosophical networks compared to null models of similar structure, we find that networks of philosophical interaction have more centralizing figures, are more sparse and modular, and exhibit more hierarchy.

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Cody Moser @culturologies.co · 24/04/2025

Using networks from Randall Collins' 'The Sociology of Philosophies', we examine differences between different philosophical systems through time and how they develop across history, examining networks of philosophical interaction from ancient India (800BCE) to modern North America (1980CE).

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Cody Moser @culturologies.co · 24/04/2025

Philosophy is one of humanity’s oldest systems of knowledge production, predating science by thousands of years. But not all eras are equal. Some are marked by debate and innovation, others by the preservation of tradition. Here we use explore dynamics distinguishing eras of philosophy.

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