Planning Solutions in the Real World

Abstract

In the last years,researchers have made significant progress on robot planning, leading to impressive realtime planners for such challenging tasks as driving, flying, walking, and manipulating objects. In this paper we present a novel architecture to support applications in artificial intelligence in environments fully observable, i.e. in classical planning.On the other hand, we developed ASP-based applications that allowgoing of classical planning to a dynamic planning, according to the real world execution through logic programming where answer sets correspond to solutions, similar to of answer set programming. Furthermore, our systems allow online planning and replanning, depending on whether plan requires revision during execution and replan accordingly.

Answer Set Programming (DLV – Clingo):Connect 4 Solver

“…As can be seen, choosing the paradigm based on answer set programming gives us a simple, clear, and adequate opportunity to model complex problems in a transparent way. As shown in the solution presented in dlv, the way in which this type of complex problem is modeled is simple and clear [11].…”

Search for Answers in Domain Specific Supported by Intelligent Agents

“…This application was developed in Spanish language, because it is used in Mexico and the Mexican labor law is in Spanish, in addition, users are Spanish speaking. The architecture used for the development of this application is similar to that presented in [5], [8] and [9] …”