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Using argumentation to reason about trust and belief
TLDR
We introduce a formal system of argumentation that can be used to reason using information about trust. Expand
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Argumentation-based reasoning in agents with varying degrees of trust
TLDR
We consider a group of agents with varying degrees of trust of each other and examine the combinations of trust with the argumentation-based reasoning that they can carry out. Expand
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Low-Resource Corpus Filtering using Multilingual Sentence Embeddings
TLDR
We use the LASER toolkit (Language-Agnostic SEntence Representations), which uses an encoder-decoder architecture trained on a parallel corpus to train a multilingual sentence representation model using a relatively small parallel corpus. Expand
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An Argumentation Engine : ArgTrust
Argumentation is a well-studied formal model for multiagent interaction that supports exchange of information about agents’ beliefs and reasons why agents hold their beliefs. We describe anExpand
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Dempster-Shafer argument schemes
TLDR
This paper introduces a class of argument schemes for reasoning over uncertain information. Expand
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Argumentation-based dialogues for deliberation
TLDR
We present an argumentation-based approach to deliberation, the process by which two or more agents reach a consensus on a course of action. Expand
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A Model for Integrating Dialogue and the Execution of Joint Plans
TLDR
We present a model for constructing joint plans for a non-deterministic team of agents that takes into account their communication needs. Expand
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Towards Argumentation with Symbolic Dempster-Shafer Evidence
TLDR
This paper is concerned with the combination of argumentation with the Dempster-Shafer theory of evidence. Expand
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Cross-lingual Retrieval for Iterative Self-Supervised Training
TLDR
We introduce a new iterative self-supervised learning method that combines mining and multilingual training to improve cross-lingual alignment and translation ability at the same time. Expand
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Validation of cognitive models for collaborative hybrid systems with discrete human input
TLDR
We present a method to validate a cognitive model, based on the cognitive architecture ACT-R, in dynamic human-automation systems with discrete human input. Expand
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