COMB: Scalable Concession-Driven Opponent Models Using Bayesian Learning for Preference Learning in Bilateral Multi-Issue Automated Negotiation
S Chang, K Fujita - Group Decision and Negotiation, 2024 - Springer
Learning an opponent's preferences in bilateral multi-issue automated negotiations can lead
to more favorable outcomes. However, existing opponent models can fail in negotiation …
to more favorable outcomes. However, existing opponent models can fail in negotiation …
[HTML][HTML] The preference selection index performance in large alternatives' decisions to support the AHP: The case of a university selection
MS Obeida, W Ababneh, NA Al Theeb - Journal of applied research …, 2023 - scielo.org.mx
Two multi-criteria decision-making approaches were implemented in this paper for selecting
a US university considering the industrial engineering doctorate as a case study. These …
a US university considering the industrial engineering doctorate as a case study. These …
Smart Navigation for Visually Impaired people using Artificial Intelligence
R Shendge, A Patil, S Kadu - ITM Web of Conferences, 2022 - itm-conferences.org
This research introduces a blind aid that uses a live object recognition system. People who
are blind or partially sighted rely significantly on their other senses, such as touch and …
are blind or partially sighted rely significantly on their other senses, such as touch and …
Overview of Automated Negotiation Approaches Based on Cloud Systems
R Bouabdallah, F Fakhfakh - International Conference on Intelligent …, 2023 - Springer
Cloud computing is a pay-as-you-go model where users only pay for the resources they
actually use. Despite the advancements in cloud technology, there are still a number of …
actually use. Despite the advancements in cloud technology, there are still a number of …