Search Results for "dynamic process simulation"

...The project serves both as a prototype and a conceptual playground for testing how conversational AI systems behave when embedded into dynamic, game-like environments rather than static chat interfaces. It leverages the broader Pipecat architecture for multimodal and conversational AI orchestration, meaning that interactions can potentially extend beyond text into voice, events, and real-time systems.

web-access is a tool designed to give AI agents structured and controlled access to web content, enabling them to retrieve, navigate, and process information from online sources in real time. It abstracts common web interactions such as page loading, data extraction, and navigation into reusable functions that can be invoked by agents. The system emphasizes safety and control, likely including mechanisms to manage permissions, rate limits, and content filtering. This allows agents to operate within defined boundaries while still benefiting from dynamic, up-to-date information. ...

VectorizedMultiAgentSimulator is a high-performance, vectorized simulator for multi-agent systems, focusing on large-scale agent interactions in shared environments. It is designed for research in multi-agent reinforcement learning, robotics, and autonomous systems where thousands of agents need to be simulated efficiently.

openai-agents-python is a library developed by OpenAI to simplify the process of creating and running agents that interact with tools and APIs using OpenAI models. It provides abstractions for tool usage, memory management, and agent workflows, enabling developers to define function-calling agents that reason through multi-step tasks. Ideal for building custom AI workflows, the library supports dynamic tool definitions and contextual memory handling.

The project has moved to github https://github.com/EnFlexIT/AgentWorkbench Agent.GUI is a simulation framework and toolkit based on the JADE framework. It provides functionalities for time aspects, agent-environment interaction, visualization and load balancing, Furthermore, the included application focuses the usability for end users.

The Mars Rover Simulator project is based on the evolutionary robotics paradigm where an artificial agent acquires its skills through the process of artificial evolution. This simulator can be useful to evolve neural network controllers for the rover

Elysia is an attempt to study the complex process behind decision making in neural systems. An evolved entity approach is used to converge on an 'intelligence' solution through genetic algorithms as well as adaptable models of distributed 'thinking'.

Agent based model of organizations considering the interplay between the formal hierarchical structure and the process network emerging while the organization performs a task-set.