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This project aims at creating rationally thinking agents. The agent gather information through command line or network and stores it in its memory. It uses Stanford's NLP library to understand the language statements.
Agents design supporting system for simulation models
Main task is automating the creation of simulation models of complex model.
The originalities of proposed software are explicit representation of conceptual model in the concept – attribute – relation form and applying expert system approach to transform designed ontology into agent model. Researchers develop the structure and behavior of agents using declarative approach.
Web: https://84.237.20.67/RFFI/Main.php
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This project is an implementation of a computational framework that addresses general-interest low-level problems such as real-time synchronization, sound communication and spatial agent mobility.
GASPAR implements an dialectical argumentation framework for instantiating the artificial intellect of a software agent. In this artilect, motivations are represented in mental faculties which argue why and how these motivations can be adopted.