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One of the important research areas is a modification of agent behaviors within a running system. Although this topic has been addressed in the past, the typical focus was on agent reasoning, where adaptability was concerned mostly with selecting ...

Opponent modeling is the ability to use prior knowledge and observations in order to predict the behavior of an opponent. This survey presents a comprehensive overview of existing opponent modeling techniques for adversarial domains, many of which must ...

In 2016 Microsoft released Tay.ai to the Twittersphere, a conversational chatbot that was intended to act like a millennial girl. However, they ended up taking Tay's account down in less than 24 h because Tay had learnt to tweet racist and sexist ...

An intent‐driven system is a compositional system of human actors and machine actors. The aim of intent‐driven systems is to capture stakeholders’ intents and transform these into a form that enables computer processing of the intents. Only then are ...

In recent years, the future of agent research has often been dis-cussed. Most prominent is the issue whether agents should be seen as a conceptual framework or as a software development paradigm.At the same time, developments on AI seem to have taken ...

Deploying context management systems at a global scale comes with a number of challenges and requirements. We argue that the hypermedia model and the agent-oriented paradigm help achieve the vision of Context-as-a-Service. We categorize challenges ...

Project ComunicArte is a virtual reality videogame for training the ability of public speaking. It is built as an environment where the speaker confronts a virtual audience that reacts in real time to the speaker's features, such as voice, gestures and ...

This work introduces Policy Reuse for Safe Reinforcement Learning, an algorithm that combines Probabilistic Policy Reuse and teacher advice for safe exploration in dangerous and continuous state and action reinforcement learning problems in which the ...

Numerical cognition is a distinctive component of human intelligence such that the observation of its practice provides a window in high‐level brain function. The modelling of numerical abilities in artificial cognitive systems can help to confirm ...

Neurological disorders such as strokes, dementia, or ABI, among others, represent a major burden on European and worldwide healthcare systems, and can be understood as an unmet clinical need, recognised as a global challenge. This work discusses ...

This paper describes the features of a scripting language proposed to support the practical implementation of agents and multi-agent systems using an agent-oriented programming approach. Agents are programmed in terms of procedures to be executed when ...

The drive for sustainability as evidenced by the Paris Accords is forcing a radical re-examination of the way electricity is produced, managed, and consumed. Research on sustainable smart electricity markets is facilitating the emergence of sustainable ...

A particular challenge to the construction of systems-of-systems (SoS) is the high heterogeneity of their constituent systems, thereby making interoperability an important issue to be tackled. This paper introduces Mandala, a platform to support ...

Remediation actions are performed in scenarios in which consequences of a problem should be promptly mitigated when its cause takes too long to be addressed or is unknown. Existing approaches that address these scenarios are application-specific. ...

Software-based agents are becoming increasingly ubiquitous and automated. However, current technology and algorithms are still fallible, which considerably affects users’ trust and interaction with such agents. In this article, we investigate two ...

Electronic commerce allows for design of flexible and effective mechanisms of exchange between economic parties. Electronic negotiations let the geographically and temporally separated participants to engage in offer exchange in search for acceptable ...

The Internet of Things will expose services enabling developers to easily explore data generated by an enormous number of devices. These devices, such as industrial sensors and actuators, and house appliances can have different interfaces, interaction ...

Wireless sensor network WSN should be designed such that it is able to identify the faulty nodes, rectify the faults, identify compromised nodes from various security threats, and transmit the sensed data securely to the sink node under faulty ...

Software defined networking SDN is lauded to be the paradigm of choice for the next generation networks. While academia explores use cases in various contexts, industry has focused on data centre networks' limited but intense needs. There is a ...