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Behavioral and computational scientist. I study how information is distributed, interpreted, and transformed through networks, and how communication structure shapes judgment, coordination, and collective behavior across human, organizational, and AI systems.

The work combines experiments, network analysis, measurement, simulation, statistical inference, and computational systems. Four lines are active: machine-agent networks, information transformation and provenance, simulation as a way of separating mechanisms that produce similar visible outcomes, and measurement of cultural structure.

graystoneindustries.co

Research code and replication materials

Repository Paper
m2m-collective-belief-dynamics Communication content and local connectivity shape collective accuracy in networks of machine agents
m2m-bavelas-groups Communication topology shapes collective problem solving in networks of machine agents
shared-ancestry-lm-reports Shared ancestry among language-model reports: code, prompts, constructed worlds, and every stored model call
Information mutation code and recoding release (OSF) Information mutation across implemented AI-agent communication architectures
bfg-corrective-replicator A corrective constraint increases multi-target attainment under finite adaptive search
compositional-latent-diffusion Diffusion before adoption: A model of compositional latent diffusion
meme-family-contrastive-signatures Measuring meme-family structure with contrastive sparse features
memes-structural-signals Memes as structural signals: A chemical model of interpretive compatibility

Earlier snapshots: m2m-information-mutation (early development version of the information-mutation simulation) and structural-legibility-prototype (superseded prototype of the shared-ancestry study).

Research infrastructure

manuscript-u recommends where to submit an academic manuscript, returning ranked journals with fit scores, desk-rejection risk, and revision culture notes grounded in data fetched at query time.

org-signal is browser-based network analysis for teaching and research. It builds networks from message exports, surveys, drawings, and generated organizations with planted structure, and its calculations are checked against NetworkX and closed-form references (accuracy report). Live at orgsignal.graystoneindustries.co.

Talks

sandia-automated-presentation is a fifteen-minute talk on credibility and evaluation in systems of interacting agents, built as a self-running browser presentation. Other talks and recorded walkthroughs, each with its own repository, are listed at graystoneindustries.co/talks.

Applied software

Browser-native recommendation tools, each a two-stage reasoning pipeline over live web search with explicit confidence scoring. No backend, no build step.

Other

daily-digest-script assembles a daily email and Slack digest.

Popular repositories Loading

  1. m2m-bavelas-groups m2m-bavelas-groups Public

    Replication materials for 'Communication topology shapes collective problem solving in networks of machine agents'. Applies the Bavelas communication network paradigm to groups of large language mo…

    Python

  2. latent-diffusion-collective-action latent-diffusion-collective-action Public archive

    Superseded. Replication materials for the earlier 'Latent Diffusion and the Assembly of Collective Action' study. This line was retired and replaced by later compositional latent diffusion work. Ke…

    Python

  3. memes-structural-signals memes-structural-signals Public

    Computational proof-of-concept supporting 'Memes as structural signals: A chemical model of interpretive compatibility' (Gladstone & Thompson), Biosemiotics (2026), https://doi.org/10.1007/s12304-0…

    Python

  4. m2m-information-mutation m2m-information-mutation Public

    Replication materials for 'Information mutation across implemented AI-agent communication architectures' (Gladstone and Brashears, forthcoming in Scientific Reports). Simulation code, data, and fig…

    HTML

  5. structural-legibility-prototype structural-legibility-prototype Public

    Prototype and data from an earlier, superseded version of the message-residue study. Tests whether communication topologies leave detectable residues in transmitted messages.

    Python

  6. m2m-collective-belief-dynamics m2m-collective-belief-dynamics Public

    Replication materials for 'Communication content and local connectivity shape collective accuracy in networks of machine agents'. Examines how sharing evidence versus conclusions, and local connect…

    Python