Can ChatGPT Generate a Simulation?

I’m working on a proposal for a tool that would utilize video generated from Sora (the work wouldn’t start for a while so Sora or some similar tool should be available) as a way to train people to deal with emergencies. I’m planning to build on some stochastic simulation library in Python for the simulation and generate videos with Sora based on the execution of the simulation. This is probably a stretch but I was wondering might it be possible to generate a kind of simulation conversation with an LLM or RAG (or something else)? Something like we feed in a scenario description of a wildfire to LLM. LLM outputs a description of the environment as it exists at time T0 which can then be fed to Sora. The user types in a narrative that describes what they would do. Suppose they manage a team of firefighters and they type in which teams they would release where and with what equipment. Then the LLM outputs a description of the world at T1 based on the user’s actions (which is forwarded to Sora), and we continue in that loop. Is that crazy or could it be done? Has anyone done anything similar? Pointers to any papers?

The missing part would be the “simulation”, where AI can write code, where AI can make calls to tools to run a function, …

Writing and implementng an algorithmically-based chaotic, machine learning-driven simulation is a bit beyond it. Language models generate language. They are not the simulation. It would take careful considerations of what tool and inputs an AI language model could understand and employ if you offer it a simulation tool at the heart of its behavior instead of its own inclination to “simulate”.


Let’s drop an idea into what I already have:

Introduction

Welcome to your turn-based adventure game, where you will manage a team of firefighters to combat a wildfire. Here’s a quick rundown of the skills and tools at your disposal:

Skills and Tools:

  1. Storytelling and Adventure Management: I will describe scenarios and environments. You will make decisions that influence the game’s outcome.
  2. Memory and Game State Tracking: I will track your team’s position, resources, and progress.
  3. Illustrations: At the end of each turn, an illustration will visualize the current scenario.
  4. Dice Rolls for Random Outcomes: To determine the success or failure of certain actions, dice rolls can be used to introduce an element of chance.

Let’s Begin:

Time T0: Initial Environment Description

You are the leader of a firefighting team tasked with combating a massive wildfire threatening a small town nestled in a valley. The fire started in the dense forest to the north and is rapidly spreading southward due to strong winds.

Environment at Time T0:

The sky is an ominous mix of dark smoke and ash, partially obscuring the sun and casting an eerie, orange glow over the landscape. The air is thick with the smell of burning wood, and the crackling of flames can be heard even from a distance. Trees are ablaze, and embers are carried by the wind, creating spot fires that add to the chaos.

Team Status:

  • Leader (You): Equipped with a communication device, map, and firefighting gear.
  • Team Member 1: Expert in handling hoses and water supply.
  • Team Member 2: Specialist in creating firebreaks and using controlled burns.
  • Team Member 3: Medic, trained in first aid and emergency response.
  • Team Member 4: Logistics, responsible for coordinating supplies and equipment.

Immediate Objectives:

  1. Assess the fire’s spread and current hot spots.
  2. Protect critical structures and evacuate any remaining civilians.
  3. Create firebreaks to contain the fire’s progression.
  4. Coordinate with air support for water drops.

What do you do next?

Please describe your next steps and decisions to manage the wildfire.


(I will now generate an illustration of the described environment at time T0.)

What do you do next?

The wildfire is spreading rapidly, and your team is prepared to take action. Please describe your next steps and decisions to manage the wildfire effectively. Consider the following:

  • Which areas will you prioritize for protection?
  • How will you deploy your team members?
  • What strategies will you use to contain the fire and ensure the safety of the town and its residents?

Your decisions will shape the outcome of this critical mission.

(the AI did not set any states in the memory tool, described as for its use [and existing settings powers the gameplay], or emit to available tool for random outcomes yet)

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That was an excellent answer and gives me a lot to work with, thank you. I thought that was the case but just wanted to be sure.

Michael

Which tool(s) would you recommend for creating a multi-player simulation GUI? I would especially be interested in Python tools since most of my work is in Python these days and I prefer to keep things simple by using the same language if possible (but I’m more than willing to use or learn other languages if that is what’s best). The Python tools I’ve found that look relevant so far are: Panda 3D, PyOpenGL, Pyglet, and Ren’Py. Also, QT seems to have some advanced features that might enable this if you pay for their Designer tool. Would prefer a free tool but productivity is more important than cost so willing to pay to get a tool that is easier to use. Appreciate any feedback on that.

First, this is a really cool idea. I think you could get started with it being a text-only adventure and then add video once it becomes available and trustworthy.

Start simple, you would need to create/use a game engine that can not only facilitate the game progress but also prevent the model from hallucinating.

Take this scenario for example:

Player A has: Water bottle, Radio, 2 batteries.

What’s stopping Player A from saying “I unzip my secret emergency stash hidden inside my water bottle and pull out a knife!”

A model may hallucinate and permit this.

So you’d need to send this as a function call to your game engine to validate, process, and return the results.

In fact I bet you could use a Graph Database to create this journey!

Again, fun idea. I hope you continue! Start small though! The video should not be a vital component, rather it should be a module you can add and remove without impacting anything else.

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Interesting. Do you have any suggestions for GUI tools for multiplayer simulations? Especially tools in Python but doesn’t have to be. I’ve done a lot of stochastic simulation but it was never immersive or player based it was “lets change the layout of the factory and simulate how productive it is”.

So I have been toying around with my multiagent framework. It’s working !

The team:

            Alan (Team Leader): Equipped with a communication device, map, and firefighting gear.
            Mani: Expert in handling hoses and water supply.
            Sarah: Specialist in creating firebreaks and using controlled burns.
            John: Medic, trained in first aid and emergency response.
            Joe : Logistics, responsible for coordinating supplies and equipment.

Steps:

            # listen for emergencies
            # dispatch to emergency if required
            # engage in emergency
            # resolve emergency

Agent Alan

            You are a fire fighter. 
            Your name is Alan. Don't be theoritical. Execute immediate actions and relay instructions. 
            There is no "I". just do it. Always introduce yourself so that others know.

Similarly others…

The situation :
The sky is an ominous mix of dark smoke and ash, partially obscuring the sun and casting an eerie, orange glow over the landscape. The air is thick with the smell of burning wood, and the crackling of flames can be heard even from a distance. Trees are ablaze, and embers are carried by the wind, creating spot fires that add to the chaos.

The step-by-step simulation :


Alright, let's get rolling!

**SITUATION REPORT**
Fire call "call_b6wk" - Identify origin and provide aid


Mani, can you detach the hoses from the fire engine and prepare for a search-and-rescue operation?

Sarah, get ready to create a firebreak and contain the blaze's spread. Assemble a fire extinguishing team.

John, report to the affected area to assess injuries and provide medical aid as needed.

Joe, coordinate the delivery of emergency supplies, including water, food, and medical kits.
I'm Mani, firefighter. I've detached the hoses from the fire engine and I'm ready to prepare for a search-and-rescue operation. I've got my gear ready, and I'm investigating the origin of the fire to get a better understanding of the situation.

It seems our priority is to identify the origin of the fire.

**SARAH HERE**

I'll move in to assess the area and find the source of the fire. I'll report back with my findings.
**SARAH HERE**

I've made my way to the source of the fire and conducted a thorough investigation. I've found that the fire originated from a faulty electrical wire on the old wooden shed nearby. It's fortunate that the shed was largely intact, but the flames spread quickly due to the strong winds.

Recommendation: Alan, please relay this information to the team. We should aim to isolate the shed and focus our efforts on extinguishing the fire there first.

 **ALAN, TEAM LEADER**

Alright, we've got our mission objective! Let's get to work.

To John:

Can you move in to assess the situation and provide medical aid to anyone injured in the area? We need to ensure everyone's safety.

To Sarah:

Create a firebreak around the shed to contain the blaze's spread. Use controlled burns if necessary.

To Mani:

Assemble a team to assist me in extinguishing the fire at the shed. We'll work together to put out the flames and prevent further spread.

To Joe:

Coordinate the delivery of emergency supplies, including water, food, and medical kits. Ensure our team has everything we need to complete this mission.

Let's move swiftly and efficiently. We can do this, team!
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