Open Source Agentic AI Tools

This project is a quest for conscious artificial intelligence. A number of prototypes will be developed as the project progresses. This project has 2 subprojects: Object Pascal based CAI NEURAL API - https://github.com/joaopauloschuler/neural-api Python based K-CAI NEURAL API - https://github.com/joaopauloschuler/k-neural-api A video from the first prototype has been made: http://www.youtube.com/watch?v=qH-IQgYy9zg Above video shows a popperian agent collecting mining ore from 3 mining sites and bringing to the base. At the time the agent is born, it doesn't know how to walk nor it knows that it feels pleasure by mining. He has tact only (blind agent). The video shows learning, planning, executing and plan optimization.

This project is an extension to Jadex Framework and aims to develop an autonomous agent which is using adaptive decision making architecture based on Thagard’s deliberative coherence.

This project develops a Java API and tools to specify and execute organisations for multiagent systems based on Moise model. This model is built upon concepts like groups, roles, global goals and plans, and obligations.

PLaTHEA is a stereo vision based indoor localization and tracking system. The system acquires a stereo video stream from different kind of input devices included not-synchronized network cameras. An usage tutorial for an older is provided at http://www.dis.uniroma1.it/~leotta/demos/plathea/plathea.html. If you want to use this code please cite the research paper at https://onlinelibrary.wiley.com/doi/abs/10.1002/spe.2262.

The Simple API for JADE-based Simulations (SAJaS) is a proposal to bridge the gap between MAS simulation and development. SAJaS enhances MABS frameworks with JADE-based features. While empowering MABS modellers with modelling concepts offered by JADE, SAJaS also promotes a quicker development of simulation models for JADE programmers. In fact, the same implementation can, with minor changes, be used as a large scale simulation or as a distributed JADE system. SAJaS provides, for certain kinds of applications, increased simulation performance, as compared to JADE.

TOAST (Trust Organisational Agent System Testbed) is a simulation framework used to evaluate and compare different trust models for agents embedded in organisational systems.

TuCSoN (Tuple Centres Spread over the Network) is a tuple-based middleware for the coordination of distributed systems – including multi-agent systems, mobile agents and pervasive systems.

This project is an integration of the ALIVE framework, based on Organisational theory, into commercial games, providing game AI developers with tools to model gaming scenarios using social structures.

Implementation of Fuzzy Logic Theory