Yasser Mohammad
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View article: Adapting Bargaining Strategies to the TAU Protocol for Better Negotiation Outcomes
Adapting Bargaining Strategies to the TAU Protocol for Better Negotiation Outcomes Open
As artificial intelligence (AI) becomes increasingly common in industry and business operations, researchers are focusing on how to enable AI agents representing different stakeholders to cooperate effectively in competitive environments. …
View article: Automated Negotiation for Delivery Date Adjustment in Procurement
Automated Negotiation for Delivery Date Adjustment in Procurement Open
Negotiation is ubiquitous in business applications in general and in procurement operations in particular. Nevertheless, several studies have shown that the negotiation process is often inefficient and time-consuming. In this paper, we pro…
View article: Tutorial Abstracts
Tutorial Abstracts Open
Automated Negotiation between intelligent agents is attracting more attention from the research community, especially with the broader market penetration of intelligent agents and the need to coordinate their behavior.Supply Chain Manageme…
View article: Transfer Learning Based Adaptive Automated Negotiating Agent Framework
Transfer Learning Based Adaptive Automated Negotiating Agent Framework Open
With the availability of domain specific historical negotiation data, the practical applications of machine learning techniques can prove to be increasingly effective in the field of automated negotiation. Yet a large portion of the litera…
View article: An Autonomous Negotiating Agent Framework with Reinforcement Learning Based Strategies and Adaptive Strategy Switching Mechanism
An Autonomous Negotiating Agent Framework with Reinforcement Learning Based Strategies and Adaptive Strategy Switching Mechanism Open
Despite abundant negotiation strategies in literature, the complexity of automated negotiation forbids a single strategy from being dominant against all others in different negotiation scenarios. To overcome this, one approach is to use mi…
View article: An Autonomous Negotiating Agent Framework with Reinforcement Learning based Strategies and Adaptive Strategy Switching Mechanism.
An Autonomous Negotiating Agent Framework with Reinforcement Learning based Strategies and Adaptive Strategy Switching Mechanism. Open
View article: Challenges and Main Results of the Automated Negotiating Agents Competition (ANAC) 2019
Challenges and Main Results of the Automated Negotiating Agents Competition (ANAC) 2019 Open
View article: Selecting Orientation-Insensitive Features for Activity Recognition from Accelerometers
Selecting Orientation-Insensitive Features for Activity Recognition from Accelerometers Open
Activity recognition from sensors is a classification problem over time-series data. Some research in the area utilize time and frequency domain handcrafted features that differ between datasets. Another categorically different approach is…
View article: Assessment of Oxygen Saturation Using Pulse Oximetry in Patients with Steady State HbSS
Assessment of Oxygen Saturation Using Pulse Oximetry in Patients with Steady State HbSS Open
Background:The exact consequence of hypoxemia SCA is unclear, however, many studies have shown haemoglobin desaturation is common in patient with SCA even at steady state, and may predispose to several complications including pulmonary hyp…
View article: A Comparison between Chemical Reaction Optimization and Genetic Algorithms for Max Flow Problem
A Comparison between Chemical Reaction Optimization and Genetic Algorithms for Max Flow Problem Open
This paper presents a comparison between the performance of Chemical Reaction Optimization algorithm and Genetic algorithm in solving maximum flow problem with the performance of Ford-Fulkerson algorithm in that. The algorithms have been i…
View article: Data Mining for Social Robotics: Toward Autonomously Social Robots
Data Mining for Social Robotics: Toward Autonomously Social Robots Open
View article: Simple Incremental GMM Modeling using Multidimensional Piecewise Linear Segmentation for Learning from Demonstration
Simple Incremental GMM Modeling using Multidimensional Piecewise Linear Segmentation for Learning from Demonstration Open
Learning from Demonstration is an important technology for the new wave of robots that are envisioned to work side-by-side with workers in factories as well as social robots. Most available techniques for learning from demonstration rely o…
View article: Synthetic Evidential Study as Augmented Collective Thought Process – Preliminary Report
Synthetic Evidential Study as Augmented Collective Thought Process – Preliminary Report Open