In this paper, a comparison between the pseudocode of a well-known algorithm for solving distributed constraint satisfaction problems and the implementation of such an algorithm in JADEL is given. First, background and motivations behind JADEL development are illustrated. Then, we make a description of the problem and a brief introduction to JADEL. The core of this work consists in the translation of the algorithm pseudocode in JADEL code, which is described in details. Scope of the paper is to evaluate such a translation, in terms of closeness to pseudocode, complexity, amount of code written and performance.

A Comparison between Asynchronous Backtracking Pseudocode and its JADEL Implementation / Poggi, Agostino; Monica, Stefania; Iotti, Eleonora; Bergenti, Federico. - STAMPA. - 2:(2017), pp. 250-258. (Intervento presentato al convegno 9th International Conference on Agents and Artificial Intelligence (ICAART 2017)) [10.5220/0006205902500258].

A Comparison between Asynchronous Backtracking Pseudocode and its JADEL Implementation

Poggi, Agostino;Monica, Stefania;Iotti, Eleonora;Bergenti, Federico
2017-01-01

Abstract

In this paper, a comparison between the pseudocode of a well-known algorithm for solving distributed constraint satisfaction problems and the implementation of such an algorithm in JADEL is given. First, background and motivations behind JADEL development are illustrated. Then, we make a description of the problem and a brief introduction to JADEL. The core of this work consists in the translation of the algorithm pseudocode in JADEL code, which is described in details. Scope of the paper is to evaluate such a translation, in terms of closeness to pseudocode, complexity, amount of code written and performance.
2017
978-989-758-219-6
978-989-758-220-2
A Comparison between Asynchronous Backtracking Pseudocode and its JADEL Implementation / Poggi, Agostino; Monica, Stefania; Iotti, Eleonora; Bergenti, Federico. - STAMPA. - 2:(2017), pp. 250-258. (Intervento presentato al convegno 9th International Conference on Agents and Artificial Intelligence (ICAART 2017)) [10.5220/0006205902500258].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11381/2838735
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