000130154 001__ 130154
000130154 005__ 20241125101123.0
000130154 0247_ $$2doi$$a10.1111/itor.13088
000130154 0248_ $$2sideral$$a125880
000130154 037__ $$aART-2023-125880
000130154 041__ $$aeng
000130154 100__ $$aVargas, L.G.
000130154 245__ $$aConflict resolution in the era of cognitive multicriteria decision-making: an AHP-retributive approach
000130154 260__ $$c2023
000130154 5060_ $$aAccess copy available to the general public$$fUnrestricted
000130154 5203_ $$aThis 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.
000130154 540__ $$9info:eu-repo/semantics/openAccess$$aAll rights reserved$$uhttp://www.europeana.eu/rights/rr-f/
000130154 590__ $$a3.1$$b2023
000130154 592__ $$a1.027$$b2023
000130154 591__ $$aMANAGEMENT$$b171 / 407 = 0.42$$c2023$$dQ2$$eT2
000130154 593__ $$aBusiness and International Management$$c2023$$dQ1
000130154 591__ $$aOPERATIONS RESEARCH & MANAGEMENT SCIENCE$$b34 / 106 = 0.321$$c2023$$dQ2$$eT1
000130154 593__ $$aComputer Science Applications$$c2023$$dQ1
000130154 593__ $$aStrategy and Management$$c2023$$dQ1
000130154 593__ $$aManagement Science and Operations Research$$c2023$$dQ1
000130154 593__ $$aManagement of Technology and Innovation$$c2023$$dQ2
000130154 594__ $$a7.8$$b2023
000130154 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion
000130154 700__ $$aMoreno-Loscertales, C.$$uUniversidad de Zaragoza
000130154 700__ $$0(orcid)0000-0002-5037-6976$$aMoreno-Jiménez, J.M.$$uUniversidad de Zaragoza
000130154 7102_ $$11007$$2610$$aUniversidad de Zaragoza$$bDpto. Medicina, Psiqu. y Derm.$$cArea Medicina
000130154 7102_ $$14014$$2623$$aUniversidad de Zaragoza$$bDpto. Economía Aplicada$$cÁrea Métodos Cuant.Econ.Empres
000130154 773__ $$g30, 3 (2023), 1453-1478$$pInt. trans. oper. res.$$tINTERNATIONAL TRANSACTIONS IN OPERATIONAL RESEARCH$$x0969-6016
000130154 8564_ $$s1311407$$uhttps://zaguan.unizar.es/record/130154/files/texto_completo.pdf$$yPostprint$$zinfo:eu-repo/date/embargoEnd/2025-05-31
000130154 8564_ $$s1815424$$uhttps://zaguan.unizar.es/record/130154/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint$$zinfo:eu-repo/date/embargoEnd/2025-05-31
000130154 909CO $$ooai:zaguan.unizar.es:130154$$particulos$$pdriver
000130154 951__ $$a2024-11-22-11:57:05
000130154 980__ $$aARTICLE