Genetics & Biomedical · Paper · 2025

Con-cat-enate: pilot overview

andrew djuwidja, Daniel Friedman

Zenodo

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Overview

Short overview of the concatenate amateur cat Combined with Beacons Bevcyc and demo 0.01 plan

Overview source: Curated paper metadata.

Methods and contributions

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Findings and contributions

  • The authors summarise the pipeline as: get vision input, label/tag/process, combine with CYC, form a SIM, learn the SIM outcome, and update.
  • The authors state the methods are currently handwritten and optimization is still in progress.
  • The authors state they lack a consistent automated formula but believe they can produce a full behavior table for any requested video or activity.

Methods

  • Proposed decomposable action-sequence cat agent with ROS-style checkpoints — The pilot sketches a cat agent built from decomposable action sequences using ROS-style action checkpoints.
  • BEACONS: pulse-and-response-table emulation of a social cortex — Tagged objects are assigned pulses with a response table so the cat can decide how to respond, hedge or prepare toward each object.
  • BEV-CYC: inherited-then-learned chains of decomposable behavior nodes — Behavioral drives are represented as node chains, hardcoded from birth and then edited by learning, decomposed down to muscle-tension decisions.
  • Time-limited SIM resolution with 'quickcalc' free-energy shortcuts — Each simulation is resolved within a time limit and updates parameters; low-novelty SIM types are converted to quickcalc formulas over a free-energy range.

Summary sources: Paper metadata and evidence · Extracted source text.

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Citation

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djuwidja, andrew; Friedman, Daniel. 2025. Con-cat-enate: pilot overview. Zenodo. DOI: 10.5281/zenodo.14737042. URL: https://doi.org/10.5281/zenodo.14737042.
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Catalog details and resources

Catalog row133
Citation keyFriedman2025ConCatEnatePilot133
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