
Andreas Brännström- Master of Technology
- PhD Student at Umeå University
Andreas Brännström
- Master of Technology
- PhD Student at Umeå University
Strategic Argumentation to deal with interactions between intelligent systems and humans.
About
13
Publications
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Citations
Introduction
Current research: https://people.cs.umu.se/andreasb/
Current institution
Education
September 2018 - June 2020
Department of Computing Science
Field of study
- Computing Science
Publications
Publications (13)
Indoor interventions are among the most dangerous situations police officers have to deal with, mostly due to a lack of situational awareness. This work describes a planner that determines when to provide information, implemented in DLVK. It is based on the General Tactical Explanation Model, used by Swedish police during tactical interventions. Th...
This paper introduces an automated decision-making framework for providing controlled agent behavior in systems dealing with human behavior-change. Controlled behavior in such settings is important in order to reduce unexpected side-effects of a system’s actions. The general structure of the framework is based on a psychological theory, the Theory...
Humans have evolved to seek social connections, extending beyond interactions with living beings. The digitization of society has led to interactions with non-living entities, such as digital companions, aimed at supporting mental well-being. This literature review surveys the latest developments in digital companions for mental health, employing a...
This work aims to utilize quantitative bipolar argumentation to detect deception in machine learning models. We explore the concept of deception in the context of interactions of a party developing a machine learning model with potentially malformed data sources. The objective is to identify deceptive or adversarial data and assess the effectivenes...
This paper introduces an agent framework that integrates the Belief, Desire, Intention (BDI) model with Multi-Context Systems (MCS), particularly for dealing with diverse knowledge sources in belief revision, deliberation and means-end reasoning. By specifying a separate MCS in each BDI-component, the framework manages the interaction between, poss...
This paper introduces formal models for emotional reasoning, expressing emotional states and emotional causality, using action reasoning and transition systems. A general framework is defined, comprised of two main components: 1) a model for emotions based on the Appraisal theory of Emotion (AE), and 2) a model for emotional change based on Hedonic...
This volume contains revised versions of the papers selected for the second volume of the Online Handbook of Argumentation for AI (OHAAI). Previously, formal theories of argument and argument interaction have been proposed and studied, and this has led to the more recent study of computational models of argument. Argumentation, as a field within ar...
We conducted a diary study of how 19 experienced users accessed the Internet from cell phones. Our data show that participants
often chose the cell phone to access the Internet even though they had access to a computer, and the most common location
for Internet access being the home. Reasons for choosing the phone over the computer were speed, conv...
We conducted a diary and interview study to investigate where and why people use cell phones to access the Internet. In more that 50% of the cases, our participants chose a phone even though they had access to a computer, and the most frequent location for cell phone Internet access was the home.