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Machine-learning algorithms have recently been applied to electrical power problems due to their potential to reduce waste and improve electrical grid reliability, but deployment of existing research is hampered by unrealistic assumptions. My thesis ...

Digital zero-sum games are a challenging domain for artificial intelligence techniques. In such games, human players often resort to strategies, i.e., memorized sequences of low-level actions that guide their behavior. In this research we model this way ...

Explaining cooperation between individuals is a fundamental scientific endeavour. Similarly, devising mechanisms that encourage autonomous agents to cooperate with each other is a central topic in multiagent systems. Indirect reciprocity (IR) emerged as ...

Argumentation theory (AT) is an important area of logic-based artificial intelligence, which provides the basis for computational models of defeasible reasoning. Promising results have indicated AT as a solid research area for implementing defeasible ...

The use of reinforcement learning (RL) in multiagent scenarios is challenging. I consider the route choice problem, where drivers must choose routes that minimise their travel times. Here, selfish RL-agents must adapt to each others' decisions. In this ...

We propose an approach where a consensus decision-making may be reached using argumentation, building a common knowledge about the formulas of an argument depending on to what extent every formula is known by the group of agents. From the common ...

Existing machine-learning work has shown that algorithms can benefit from curricula---learning first on simple examples before moving to more difficult examples. While most existing work on curriculum learning focuses on developing automatic methods to ...

Communication is one of the most important aspects of multi-agent systems. Recently, argumentation-based approaches have stood out among other communication techniques in multi-agent systems, receiving special interest from the community, given that ...

In persuasive negotiation dialogues, agents, with different interests and goals, exchange proposals that are supported by rhetorical arguments such as threats, rewards, or appeals. The aim of this thesis is to investigate such dialogue systems, where ...

My research focuses on mechanism design for coordination when assigning resources or tasks to agents, when choosing a plan for a future event, in the presence of uncertainty, self-interest and private information. At the time of planning, each agent has ...

Contingent planning models a robot in a partially observable environment and (non)deterministic actions. In a contingent planning problem, a solution can be found by doing a search in a space of belief states, where a belief state is represented by a ...

Transport models adopt simplified descriptions of travel behaviour and are used to make forecasts when evaluating transport policy measures (e.g. road pricing, traffic management, and traffic information). This research investigates travel choice ...

My primary research interest is social behavior of software agents acting in general-sum normal form games. In an environment with another agent, an agent needs to be able to identify if the opponent is hostile or cooperative by looking at the opponent'...

Complex adaptive systems (CAS) exhibit properties beyond complex systems such as self-organization, adaptability and modularity. Designing models of CAS is typically a non-trivial task as many components are made up of sub-components and rely on a large ...

This thesis develops Arnor, an agent-oriented software engineering (AOSE) method to engineer social intelligence in personal agents. Arnor goes beyond traditional AOSE methods to engineer personal agents by systematically capturing interactions that ...

Environmental, regulatory and resource constraints affects the safety and efficiency of vessels navigating in and out of the ports. Movement of vessels under such constraints must be coordinated for improving safety and efficiency. Thus, we frame the ...

In this Interactive Storytelling (IS) work, we provide a framework for automating several aspects of staging the activities of a population of narrative agents and their interactions. Narrative agents can have differing levels of narrative relevance ...

Advances in the IT-sector have shifted the conventional development of products into the direction of integrated product-service systems. Product-service systems promise a long(er) lifetime due to latest versions of (software-based) services that ...

In this paper, we present a tool for the business users to analyze different business scenarios using business process diagrams and ontology-based models. The business scenarios involve different types of entities where the business process diagrams are ...