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Understanding the Progression of Educational Topics via Semantic Matching
Curriculum specialists and educators constantly revise taught subjects across educational grades to identify gaps, introduce new learning topics, and enhance the learning outcomes.
When Is It Acceptable to Break the Rules? Knowledge Representation of Moral Judgement Based on Empirical Data
We can invent novel rules on the fly.
Blaming humans in autonomous vehicle accidents: Shared responsibility across levels of automation
However, when both drivers make errors in cases of shared control between a human and a machine, the blame and responsibility attributed to the machine is reduced.
A Computational Model of Commonsense Moral Decision Making
We introduce a new computational model of moral decision making, drawing on a recent theory of commonsense moral learning via social dynamics.
A Voting-Based System for Ethical Decision Making
We present a general approach to automating ethical decisions, drawing on machine learning and computational social choice.
Experimental Assessment of Aggregation Principles in Argumentation-enabled Collective Intelligence
On the Web, there is always a need to aggregate opinions from the crowd (as in posts, social networks, forums, etc.).
Pareto Optimality and Strategy Proofness in Group Argument Evaluation (Extended Version)
An inconsistent knowledge base can be abstracted as a set of arguments and a defeat relation among them.
Judgment Aggregation in Multi-Agent Argumentation
After characterising the sufficient and necessary conditions for satisfying collective rationality, we study whether restricting the domain of argument-wise plurality voting to classical semantics allows us to escape the impossibility result.
