Chukwuemeka David Emele

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What do I need to say to convince you to do something? This is an important question for an autonomous agent deciding whom to approach for a resource or for an action to be done. Were similar requests granted from similar agents in similar circumstances? What arguments were most persuasive? What are the costs involved in putting certain arguments forward?(More)
How do I choose whom to delegate a task to? This is an important question for an autonomous agent collaborating with others to solve a problem. Were similar proposals accepted from similar agents in similar circumstances? What arguments were most convincing? What are the costs incurred in putting certain arguments forward? Can I exploit domain knowledge to(More)
An important and non-trivial factor for effectively developing and resourcing plans in a collaborative context is an understanding of the policy and resource availability constraints under which others operate. We present an efficient approach for identifying, learning and model-ing the policies of others during collaborative problem solving activities. The(More)
An understanding of the policy and resource availability constraints under which others operate is important for effectively developing and resourcing plans in a multi-agent context. Such constraints (or norms) are not necessarily public knowledge, even within a team of collaborating agents. What is required are mechanisms to enable agents to keep track of(More)
In multi-agent systems, agents often depend on others to act on their behalf. However, delegation decisions are complicated in norm-governed environments, where agents' activities are regulated by policies. Especially when such policies are not public, learning these policies become critical to estimate the outcome of delegation decisions. In this paper, we(More)
Recent years have witnessed growing interest in the area of argumentation strategies but there is little work done in the area of learning how to argue. This paper aims to explore how agents can improve their argumentation strategies using machine learning. This includes both learning about other agent's strategies as well as learning general heuristics for(More)
Online and virtual spaces comprise a myriad of ad-hoc networks and online communities. Such communities are composed of smart devices, agents, systems and people who seek to interact in one way or another. We argue that the task of detecting anomalies in such settings is non-trivial. The complexity is further compounded since there is no clear cut(More)
The fares that passengers are asked to pay for their journey have implications on such things as passenger transport choice, demand, cost recovery and revenue generation for the transport provider. Designing an efficient fare structure is therefore a fundamental problem, which can influence the type of transport options passengers utilise, and may determine(More)
—In collaborative missions, coalition members depend on one another to deliver on different aspects of shared goals. In such settings, task delegation decisions are complicated because activities of coalition members may be regulated by policies. Especially when such policies are private, learning these policies become crucial to estimate the outcome of(More)