A Solution Generator Algorithm for Decision Making based Automated Negotiation in the Construction Domain
Autor:
Mahmoud, Moamin
; Ahmad, Mohd Sharifuddin
; Idrus, Arazi
; Yahya, Azani
; Husen, Hapsa
Fecha:
12/2017Palabra clave:
Revista / editorial:
International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI)Tipo de Ítem:
articleDirección web:
https://ijimai.org/journal/bibcite/reference/2622Resumen:
In this paper, we present our work-in-progress of a proposed framework for automated negotiation in the construction domain. The proposed framework enables software agents to conduct negotiations and autonomously make value-based decisions. The framework consists of three main components which are, solution generator algorithm, negotiation algorithm, and conflict resolution algorithm. This paper extends the discussion on the solution generator algorithm that enables software agents to generate solutions and rank them from 1st to nth solution for the negotiation stage of the operation. The solution generator algorithm consists of three steps which are, review solutions, rank solutions, and form ranked solutions. For validation purpose, we present a scenario that utilizes the proposed algorithm to rank solutions. The validation shows that the algorithm is promising, however, it also highlights the conflict between different parties that needs further negotiation action.
Ficheros en el ítem
Este ítem aparece en la(s) siguiente(s) colección(es)
Estadísticas de uso
Año |
2012 |
2013 |
2014 |
2015 |
2016 |
2017 |
2018 |
2019 |
2020 |
2021 |
2022 |
2023 |
2024 |
Vistas |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
23 |
38 |
38 |
73 |
Descargas |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
5 |
32 |
21 |
27 |
Ítems relacionados
Mostrando ítems relacionados por Título, autor o materia.
-
An Automated Negotiation-based Framework via Multi-Agent System for the Construction Domain
Mahmoud, Moamin A.; Sharifuddin Ahmad, Mohd; Zaliman Yuso, Mohd; Idrus, Arazi (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2015)In this paper, we propose an automated multi-agent negotiation framework for decision making in the construction domain. It enables software agents to conduct negotiations and autonomously make decisions. The proposed ... -
CDPS-IoT: Cardiovascular Disease Prediction System Based on IoT using Machine Learning
Ahamed, Jameel; Manan Koli, Abdul; Ahmad, Khaleel; Alam Jamal, Mohd.; Gupta, B. B. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2022)Internet of Things, Machine learning, and Cloud computing are the emerging domains of information communication and technology. These techniques can help to save the life of millions in the medical assisted environment and ... -
Genetic Algorithm for Restricted Maximum k-Satisfiability in the Hopfield Network
Kasihmuddin, Mohd Shareduwan Bin Mohd; Mansor, Mohd Asyraf Bin; Sathasivam, Saratha (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2016)The restricted Maximum k-Satisfiability MAX- kSAT is an enhanced Boolean satisfiability counterpart that has attracted numerous amount of research. Genetic algorithm has been the prominent optimization heuristic algorithm ...