Logging component of the multi-level explainability framework for multi-agent BDI systems
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Updated
May 26, 2024 - Java
Logging component of the multi-level explainability framework for multi-agent BDI systems
The narrative generator component of the multi-level explainability framework for BDI multi-agent systems
Domestic robot example configured for the multi-level explainability framework
Mailer is a customized BDI-based agent architecture that extends the standard Jason agent by adding the ability to exchange messages via IMAP and SMTP e-mail protocols.
INN Administration System is a project for DBMS [CSE2424] course. Here we working PostgreSQL, Jason, HTML, CSS, & Node.js.
Project in JavaScript. Wanted to do a random workout generator. Data comes from json written by my self. I also wanted to create a way to log my training (this is not working longer). In this project I'm focusing on JavaScript. Design needs further work.
A data-driven project to predict the success of Falcon 9 rocket landings, crucial for cost analysis and competitive strategy in the space industry. Involves data manipulation in Pandas, JSON data processing, and insightful analysis using Python.
Lab-Resources for the course: Intelligent Agents and Multiagent Systems
An incredibly flexible and performant JSON parser, generator and formatter in pure Erlang.
ChonIDE Package for Debian, Mint, Ubuntu, and derivatives.
A Language Learning Website made with React.js Framework.
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