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Actor-critic reinforcement learning for bidding in bilateral negotiation
(TÜBİTAK, 2022)
Designing an effective and intelligent bidding strategy is one of the most compelling research challenges in automated negotiation, where software agents negotiate with each other to find a mutual agreement when there is ...
Symbolic knowledge extraction for explainable nutritional recommenders
(Elsevier, 2023-06)
Background and objective: This paper focuses on nutritional recommendation systems (RS), i.e. AI-powered automatic systems providing users with suggestions about what to eat to pursue their weight/body shape goals. A ...
The effect of appearance of virtual agents in human-agent negotiation
(MDPI, 2022-09)
Artificial Intelligence (AI) changed our world in various ways. People start to interact with a variety of intelligent systems frequently. As the interaction between human and AI systems increases day by day, the factors ...
Time series predictive models for opponent behavior modeling in bilateral negotiations
(Springer, 2023)
In agent-based negotiations, it is crucial to understand the opponent’s behavior and predict its bidding pattern to act strategically. Foreseeing the utility of the opponent’s coming offer provides valuable insight to the ...
Fully autonomous trustworthy unmanned aerial vehicle teamwork: A research guideline using level 2 blockchain
(IEEE, 2023-02)
The vast range of possible fully autonomous multiunmanned aerial vehicle (multi-UAV) operations is creating a new and expanding market where technological advances are happening at a breakneck pace. The integration of UAVs ...
Explanation-based negotiation protocol for nutrition virtual coaching
(ACM, 2023)
People’s awareness about the importance of healthy lifestyles is rising. This opens new possibilities for personalized intelligent health and coaching applications. In particular, there is a need for more than simple ...
A general-purpose protocol for multi-agent based explanations
(Springer, 2023)
Building on prior works on explanation negotiation protocols, this paper proposes a general-purpose protocol for multi-agent systems where recommender agents may need to provide explanations for their recommendations. The ...
Metrics for evaluating explainable recommender systems
(Springer, 2023)
Recommender systems aim to support their users by reducing information overload so that they can make better decisions. Recommender systems must be transparent, so users can form mental models about the system’s goals, ...
Solver agent: Towards emotional and opponent-aware agent for human-robot negotiation
(International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), 2021)
Negotiation is one of the crucial processes for resolving conflicts between parties. In automated negotiation, agent designers mostly take opponent's offers and the remaining time into account while designing their strategies. ...
A survey of decision support mechanisms for negotiation
(Springer, 2023)
This paper introduces a dependency analysis and a categorization of conceptualized and existing economic decision support mechanisms for negotiation. The focus of our survey is on economic decision support mechanisms, ...
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