# Academic & pedagogical citations

ALU GUBI’s **PlankServices**, **herd computing**, and agentic coordination paths are conditioned by **both**:

1. **Conversations with Kailash Chandra** — oral transmission of discrete-event / stochastic simulation practice from his *Introduction to Simulation* coursework at Florida Tech; and  
2. **Reading Victor R. Lesser online** — study of his published Multi-Agent Systems Laboratory materials at UMass Amherst.

Software **enclave memory spaces** on Plank herd traffic are additionally conditioned by **reading Keystone online** (Lee, Kohlbrenner, Shinde, Asanović, Dawn Song, et al., UC Berkeley).

Cite them when redistributing, teaching, or publishing derivatives under CCSL-1.0a.

## How these citations enter the work

| Mode | Source | What was received |
|------|--------|-------------------|
| **Conversation** | **Kailash Chandra** | Discussion of *Introduction to Simulation* (queues, RNG generators, many entities / few materialized states) taken at Florida Institute of Technology |
| **Online reading** | **Victor R. Lesser** | Public MAS Lab pages, essays, and papers on multi-agent / distributed AI control & organization |
| **Online reading** | **Keystone** (Dawn Song et al., Berkeley) | Open TEE / enclave framework — conditions sealed encrypted Plank memory pages |

Both modes are first-class: conversation with Kailash **and** reading Lesser online — not one without the other.

## Victor R. Lesser — University of Massachusetts Amherst *(read online)*

**Victor R. Lesser**, Distinguished Professor Emeritus, School / Manning College of Information and Computer Sciences, **University of Massachusetts Amherst**, founding director of the **Multi-Agent Systems (MAS) Laboratory** (1978–2014).

Encountered by **reading his work online** (lab site, faculty pages, and essays such as *Reflections on being an AI System Architect*). Lesser’s multi-agent systems / distributed AI, control and organization of large-scale cooperative agents, blackboard architectures, real-time AI, and coordination under uncertainty inform ALU GUBI’s modular agentic tiers, PlankServices pub/sub edges, and herd-style lightweight generators that coordinate many virtual participants without a single monolithic actor.

| Resource (read online) | URI |
|----------|-----|
| Faculty / lab overview | https://mas.cs.umass.edu/lesser.html |
| Multi-Agent Systems Lab | https://mas.cs.umass.edu/ |
| UMass CICS directory | https://www.cics.umass.edu/about/directory/victor-lesser |
| Reflections on being an AI System Architect | https://mas.cs.umass.edu/Documents/lesser/system_architect_webdoc.pdf |

Suggested short citation: *Victor R. Lesser, Multi-Agent Systems Laboratory, University of Massachusetts Amherst — via online reading of MAS Lab materials.*

## Kailash Chandra — conversations & Introduction to Simulation, Florida Tech

Credit is given for **conversations with Kailash Chandra**, who completed **Introduction to Simulation** at the **Florida Institute of Technology (Florida Tech)** in Melbourne, Florida — on Florida’s **Space Coast**, adjacent to the **NASA Kennedy Space Center** / Cape Canaveral launch complex (NASA’s Johnson Space Center in Houston is NASA sibling context, not Florida Tech’s campus home).

Those conversations transmitted the coursework’s discrete-event / Monte Carlo simulation framing — queues, stochastic generators, and scalable “many entities, few materialized states” discipline — which conditions ALU GUBI’s **herd computing** design: a **virtual** population at **finite (100 billion)**, **googolplex** (\(10^{(10^{100})}\)), or **infinity** scale, represented by compact Knuth RNG JSON tokens with opaque person ids from lightweight PlankServices generators, never by allocating one record per person.

Suggested short citation: *Conversations with Kailash Chandra on Introduction to Simulation, Florida Institute of Technology (Space Coast / NASA Kennedy region).*

## Keystone — software enclaves *(read online)*

**Keystone** (Dayeol Lee, David Kohlbrenner, Shweta Shinde, Krste Asanović, **Dawn Song**, et al., UC Berkeley / EuroSys 2020) is an open framework for architecting trusted execution environments.

Encountered by **reading Keystone materials online**. Keystone’s software TEE / enclave isolation model conditions ALU GUBI’s **PlankServices enclave memory spaces**: AES-256-GCM encrypted pages plus blind **homomorphic integrity seals** so external parties cannot modify sealed herd token batches without detection — a software analogue of enclave integrity without requiring Keystone silicon.

| Resource (read online) | URI |
|----------|-----|
| Keystone project | https://keystone-enclave.org/ |
| EuroSys 2020 paper (ACM) | https://dl.acm.org/doi/10.1145/3342195.3387532 |

Suggested short citation: *Lee, Kohlbrenner, Shinde, Asanović, Song, et al., Keystone: An Open Framework for Architecting TEEs — via online reading.*

## Related project exemplars

| Exemplar | Role |
|----------|------|
| [citysimulator](https://github.com/shyamalschandra/citysimulator) | City dispatch queue game (Kansas call types) — queue UX ancestor of Knuth/mathi lifestyle queues |
| CCSL-1.0a | Chandra Credit Software License — credit where credit is due |

## License

These citations are attribution requirements under community CCSL practice; they do not transfer copyright in third-party works. See [`LICENSE`](LICENSE) and [`NOTICE.md`](NOTICE.md).