130154 20241125101123.0 doi 10.1111/itor.13088 sideral 125880 ART-2023-125880 eng Vargas, L.G. Conflict resolution in the era of cognitive multicriteria decision-making: an AHP-retributive approach 2023 Access copy available to the general public Unrestricted This paper puts forth the foundation for a different type of negotiation that reflects in a more realistic way the behavior of human beings when making complex decisions, aligned with the cognitive process involved. The positive and the negative aspects of decisions reflect two components in the human brain: the nucleus accumbens and the amygdala. The first component deals with behavior related to rewards or potential gains, and the other with behavior related to risk aversion or potential losses. Negotiations require communication, learning, accommodation of positions, and development of alternatives and modification of constraints. Negotiation support systems help and advice negotiators; structure and analyze the problem; elicit preferences to construct a preference function; visualize different aspects of the problem and the process; and facilitate communication and learning. The methodology used is based on the Analytic Hierarchy Process previously employed in a retributive conflict in which each party calculates the incremental benefits it gets and the costs to its opponent. The Israeli–Palestinian conflict is used to show the viability of the approach and the type of inputs we need to study conflicts with this approach. The negotiation platform that we describe here help the actors to start and engage a negotiation from noncooperative parties. It can also be used in human– negotiations to expedite reaching an agreement if one exists. However, we are not seeking automated negotiations. Advantages and risks of Artificial Intelligence contribution in negotiation support systems for cognitive and retributive conflict resolution based on AHP (CRCR-AHP) are also discussed. info:eu-repo/semantics/openAccess All rights reserved http://www.europeana.eu/rights/rr-f/ 3.1 2023 MANAGEMENT 171 / 407 = 0.42 2023 Q2 T2 OPERATIONS RESEARCH & MANAGEMENT SCIENCE 34 / 106 = 0.321 2023 Q2 T1 1.027 2023 Business and International Management 2023 Q1 Computer Science Applications 2023 Q1 Strategy and Management 2023 Q1 Management Science and Operations Research 2023 Q1 Management of Technology and Innovation 2023 Q2 7.8 2023 info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion Moreno-Loscertales, C. Universidad de Zaragoza Moreno-Jiménez, J.M. Universidad de Zaragoza (orcid)0000-0002-5037-6976 1007 610 Universidad de Zaragoza Dpto. Medicina, Psiqu. y Derm. Area Medicina 4014 623 Universidad de Zaragoza Dpto. Economía Aplicada Área Métodos Cuant.Econ.Empres 30, 3 (2023), 1453-1478 Int. trans. oper. res. INTERNATIONAL TRANSACTIONS IN OPERATIONAL RESEARCH 0969-6016 1311407 http://zaguan.unizar.es/record/130154/files/texto_completo.pdf Postprint info:eu-repo/date/embargoEnd/2025-05-31 1815424 http://zaguan.unizar.es/record/130154/files/texto_completo.jpg?subformat=icon icon Postprint info:eu-repo/date/embargoEnd/2025-05-31 oai:zaguan.unizar.es:130154 articulos driver 2024-11-22-11:57:05 ARTICLE