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Learning about the opponent in automated bilateral negotiation: a comprehensive survey of opponent modeling techniques
A negotiation between agents is typically an incomplete information game, where the agents
initially do not know their opponent's preferences or strategy. This poses a challenge, as …
initially do not know their opponent's preferences or strategy. This poses a challenge, as …
An overview of cooperative and competitive multiagent learning
Multi-agent systems (MASs) is an area of distributed artificial intelligence that emphasizes
the joint behaviors of agents with some degree of autonomy and the complexities arising …
the joint behaviors of agents with some degree of autonomy and the complexities arising …
Evaluating practical negotiating agents: Results and analysis of the 2011 international competition
This paper presents an in-depth analysis and the key insights gained from the Second
International Automated Negotiating Agents Competition (ANAC 2011). ANAC is an …
International Automated Negotiating Agents Competition (ANAC 2011). ANAC is an …
[KNIHA][B] Principles of automated negotiation
With an increasing number of applications in the context of multi-agent systems, automated
negotiation is a rapidly growing area. Written by top researchers in the field, this state-of-the …
negotiation is a rapidly growing area. Written by top researchers in the field, this state-of-the …
Impact of OCR errors on the use of digital libraries: towards a better access to information
Digital collections are increasingly used for a variety of purposes. In Europe only, we can
conservatively estimate that tens of thousands of users consult digital libraries daily. The …
conservatively estimate that tens of thousands of users consult digital libraries daily. The …
Lifecycle model of a negotiation agent: A survey of automated negotiation techniques
Negotiation is a complex process. The decision making involved in several stages of
negotiation makes its automation complex. In this paper we present a lifecycle model of a …
negotiation makes its automation complex. In this paper we present a lifecycle model of a …
A framework for characterization and analysis of software system scalability
The term scalability appears frequently in computing literature, but it is a term that is poorly
defined and poorly understood. The lack of a clear, consistent and systematic treatment of …
defined and poorly understood. The lack of a clear, consistent and systematic treatment of …
[PDF][PDF] RLBOA: A Modular Reinforcement Learning Framework for Autonomous Negotiating Agents.
Negotiation is a complex problem, in which the variety of settings and opponents that may
be encountered prohibits the use of a single predefined negotiation strategy. Hence the …
be encountered prohibits the use of a single predefined negotiation strategy. Hence the …
[HTML][HTML] A chaotic owl search algorithm based bilateral negotiation model
Negotiation is a core activity between stakeholders with different goals. This paper offers a
solution based on the automated bilateral negotiation model using a recent meta-heuristic …
solution based on the automated bilateral negotiation model using a recent meta-heuristic …
A generic framework for automated multi-attribute negotiation
G Lai, K Sycara - Group Decision and Negotiation, 2009 - Springer
Agents in a negotiation may have to negotiate multiple issues simultaneously. Automated
multi-attribute negotiation provides an important mechanism for distributed decision makers …
multi-attribute negotiation provides an important mechanism for distributed decision makers …