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A context-aware approach to automated negotiation using reinforcement learning
(Elsevier, 2021-01)
Agents negotiate depending on individual perceptions of facts, events, trends and special circumstances that define the negotiation context. The negotiation context affects in different ways each agent's preferences, ...
A Solution Generator Algorithm for Decision Making based Automated Negotiation in the Construction Domain
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 ...
An Evolutionary Approach for Learning Opponent's Deadline and Reserve Points in Multi-Issue Negotiation
The efficiency of automated multi-issue negotiation depends on the available information about the opponent. In a competitive negotiation environment, agents do not reveal their parameters to their opponents in order to ...
An Automated Negotiation-based Framework via Multi-Agent System for the Construction Domain
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 ...
The importance of context-dependent learning in negotiation agents
(Sociedad Iberoamericana de Inteligencia Artificial, 2019-05-03)
Automated negotiation between artificial agents is essential to deploy Cognitive Computing and Internet of Things. In this sense, the behavior of those negotiation agents depend significantly on the influence of environmental ...
A repeated-negotiation game approach to distributed (re)scheduling of multiple projects using decoupled learning
(Elsevier Science, 2020-01)
With peer-to-peer software technologies based on Blockchain and Smart Contracts, automated negotiation of client-server relationships for enterprise networking and project-oriented fractal organizations can now be readily ...