A survey of automated negotiation: Human factor, learning, and application
X Luo, Y Li, Q Huang, J Zhan - Computer Science Review, 2024 - Elsevier
The burgeoning field of automated negotiation systems represents a transformative
approach to resolving conflicts and allocating resources with enhanced efficiency. This …
approach to resolving conflicts and allocating resources with enhanced efficiency. This …
A deep reinforcement learning approach to concurrent bilateral negotiation
We present a novel negotiation model that allows an agent to learn how to negotiate during
concurrent bilateral negotiations in unknown and dynamic e-markets. The agent uses an …
concurrent bilateral negotiations in unknown and dynamic e-markets. The agent uses an …
Agent-based automated dynamic SLA negotiation framework in the cloud using the stochastic optimization approach
R Rajavel, M Thangarathanam - Applied Soft Computing, 2021 - Elsevier
Optimization of the broker negotiation strategy is one of the challenging issues observed in
the cloud-based e-commerce negotiation framework. This strategy can be optimized either …
the cloud-based e-commerce negotiation framework. This strategy can be optimized either …
A peer-to-peer market for utility exchanges in Eco-Industrial Parks using automated negotiations
DE Kröhling, F Mione, F Hernández… - Expert Systems with …, 2022 - Elsevier
Prosumer companies exchanging utility surpluses in Eco-Industrial Parks (EIPs) is a
promising alternative for industrial symbiosis to lower investment risks, take advantage of …
promising alternative for industrial symbiosis to lower investment risks, take advantage of …
ANEGMA: an automated negotiation model for e-markets
We present a novel negotiation model that allows an agent to learn how to negotiate during
concurrent bilateral negotiations in unknown and dynamic e-markets. The agent uses an …
concurrent bilateral negotiations in unknown and dynamic e-markets. The agent uses an …
A context-aware approach to automated negotiation using reinforcement learning
Agents negotiate depending on individual perceptions of facts, events, trends and special
circumstances that define the negotiation context. The negotiation context affects in different …
circumstances that define the negotiation context. The negotiation context affects in different …
Deep learnable strategy templates for multi-issue bilateral negotiation
We study how to exploit the notion of strategy templates to learn strategies for multi-issue
bilateral negotiation. Each strategy template consists of a set of interpretable parameterized …
bilateral negotiation. Each strategy template consists of a set of interpretable parameterized …
An adaptive multi-agent system for task reallocation in a MapReduce job
We study the problem of task reallocation for load-balancing of MapReduce jobs in
applications that process large datasets. In this context, we propose a novel strategy based …
applications that process large datasets. In this context, we propose a novel strategy based …
Concurrent local negotiations with a global utility function: a greedy approach
Y Mohammad - Autonomous Agents and Multi-Agent Systems, 2021 - Springer
Automated Negotiation is a growing area of research in recent years as it provides a
mechanism for intelligent agents representing people and institutions to coordinate their …
mechanism for intelligent agents representing people and institutions to coordinate their …
Learnable strategies for bilateral agent negotiation over multiple issues
We present a novel bilateral negotiation model that allows a self-interested agent to learn
how to negotiate over multiple issues in the presence of user preference uncertainty. The …
how to negotiate over multiple issues in the presence of user preference uncertainty. The …