[HTML][HTML] Futures of artificial intelligence through technology readiness levels

F Martínez-Plumed, E Gómez… - Telematics and …, 2021 - Elsevier
Artificial Intelligence (AI) offers the potential to transform our lives in radical ways. However,
the main unanswered questions about this foreseen transformation are its depth, breadth …

Automated negotiation in environmental resource management: Review and assessment

F Eshragh, M Pooyandeh, DJ Marceau - Journal of environmental …, 2015 - Elsevier
Negotiation is an integral part of our daily life and plays an important role in resolving
conflicts and facilitating human interactions. Automated negotiation, which aims at capturing …

Evaluating language model agency through negotiations

TR Davidson, V Veselovsky, M Josifoski… - arxiv preprint arxiv …, 2024 - arxiv.org
Companies, organizations, and governments increasingly exploit Language Models'(LM)
remarkable capability to display agent-like behavior. As LMs are adopted to perform tasks …

Strategic advice provision in repeated human-agent interactions

A Azaria, Y Gal, S Kraus, CV Goldman - Autonomous Agents and Multi …, 2016 - Springer
This paper addresses the problem of automated advice provision in scenarios that involve
repeated interactions between people and computer agents. This problem arises in many …

Dynamic Pricing Models and Negotiating Agents: Developments in Management Accounting

EB Cornacchione, L Reginato, JO Imoniana… - Administrative …, 2023 - mdpi.com
Linking decision systems, negotiating agents, management accounting, and computational
accounting, this paper aims at exploring dynamic pricing strategies of a synthetic business …

Dynamically generated commitment protocols in open systems

A Günay, M Winikoff, P Yolum - Autonomous Agents and Multi-Agent …, 2015 - Springer
Agent interaction is a fundamental part of any multiagent system. Such interactions are
usually regulated by protocols, which are typically defined at design-time. However, in many …

The AI rebellion: Changing the narrative

D Aha, A Coman - Proceedings of the AAAI Conference on Artificial …, 2017 - ojs.aaai.org
Sci-fi narratives permeating the collective consciousness endow AI Rebellion with ample
negative connotations. However, for AI agents, as for humans, attitudes of protest, objection …

Agent marketplaces and deep learning in enterprises: the composition project

D Bonino, P Vergori - 2017 IEEE 41st Annual Computer …, 2017 - ieeexplore.ieee.org
The Factory of the Future vision focuses on new generation of enterprises that will exploit
latest breakthroughs in data sciences and in Internet-connected devices to effectively …

Incorporating Bayesian learning in agent-based simulation of stakeholders' negotiation

M Pooyandeh, DJ Marceau - Computers, Environment and Urban Systems, 2014 - Elsevier
This paper describes the incorporation of a Bayesian learning algorithm into an agent-based
model designed to simulate stakeholders' negotiation when evaluating scenarios of land …

Methods to Analyze Negotiation Processes

R Vetschera, ST Koeszegi, M Filzmoser - Handbook of Group Decision …, 2021 - Springer
Negotiation processes evolve simultaneously along several dimensions. They have a
substantive dimension, which deals with the issues to be resolved in the negotiation, a …