Sherief Abdallah

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The coalition formation problem has received a considerable amount of attention in recent years. In this work we present a novel distributed algorithm that returns a solution in polynomial time and the quality of the returned solution increases as agents gain more experience. Our solution utilizes an underlying organization to guide the coalition formation(More)
To cope with large scale, agents are usually organized in a network such that an agent interacts only with its immediate neighbors in the network. Reinforcement learning techniques have been commonly used to optimize agents local policies in such a network because they require little domain knowledge and can be fully distributed. However, all of the(More)
Several multiagent reinforcement learning (MARL) algorithms have been proposed to optimize agents’ decisions. Due to the complexity of the problem, the majority of the previously developed MARL algorithms assumed agents either had some knowledge of the underlying game (such as Nash equilibria) and/or observed other agents actions and the rewards they(More)
Named Entity Recognition (NER) is a subtask of information extraction that seeks to recognize and classify named entities in unstructured text into predefined categories such as the names of persons, organizations, locations, etc. The majority of researchers used machine learning, while few researchers used handcrafted rules to solve the NER problem. We(More)
The distributed task allocation problem occurs in domains like web services, the grid, and other distributed systems. In this problem, the system consists of servers and mediators. Servers execute tasks and may differ in their capabilities, e.g. one server may take more time than the other in executing the same task. Mediators act on behalf of users, which(More)
The coalition formation problem has received a considerable amount of attention in recent years. In this work we present a novel distributed algorithm that returns a solution in polynomial time and the quality of the returned solution increases as agents gain more experience. Our solution utilizes an underlying organization to guide the coalition formation(More)
We overview the software architecture for a network of low-powered radars (sensors) that collaboratively and adaptively sense the lowest few kilometers of the earth's atmosphere. We focus on the system's main control loop -- ingesting data from remote radars, identifying meteorological features in this data, and determining each radar's future scan strategy(More)
A Multi-linked negotiation problem occurs when an agent needs to negotiate with multiple other agents about different subjects (tasks, conflicts, or resource requirements), and the negotiation over one subject has influence on negotiations over other subjects. The solution of the multi-linked negotiations problem will become increasingly important for the(More)
Until recently, little work has been dedicated to the representation and interchange of informal, semi-structured arguments of the type found in natural language prose and dialogue. To redress this, the research community recently initiated work towards an Argument Interchange Format (AIF). The AIF aims to facilitate the exchange of semi-structured(More)