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Abductive subconcept learning
Bridging neural network learning and symbolic reasoning is crucial for strong AI. Few pioneering studies have made some progress on logical reasoning...
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Combining theory of mind and abductive reasoning in agent-oriented programming
This paper presents a novel model, called T om A bd , that endows autonomous agents with Theory of Mind capabilities. T om A bd agents are able to simulate...
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Efficient Abductive Learning of Microbial Interactions Using Meta Inverse Entailment
Abductive reasoning plays an essential part in day-to-day problem-solving. It has been considered a powerful mechanism for hypothetical reasoning in...
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Handling noisy labels via one-step abductive multi-target learning and its application to helicobacter pylori segmentation
Learning from noisy labels is an important concern in plenty of real-world scenarios. Various approaches for this concern first make corrections...
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The Abduction of Sherlock Holmes: A Dataset for Visual Abductive Reasoning
Humans have remarkable capacity to reason abductively and hypothesize about what lies beyond the literal content of an image. By identifying concrete...
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Lessons learned building a legal inference dataset
Legal inference is fundamental for building and verifying hypotheses in police investigations. In this study, we build a Natural Language Inference...
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A Small-Sample Method with EEG Signals Based on Abductive Learning for Motor Imagery Decoding
Motor imagery (MI) electroencephalogram (EEG) decoding, as a core component widely used in noninvasive brain-computer interface (BCI) system, is...
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Machine Learning of Microbial Interactions Using Abductive ILP and Hypothesis Frequency/Compression Estimation
Interaction between species in microbial communities plays an important role in the functioning of all ecosystems, from cropland soils to human gut...
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Weakest Precondition Inference for Non-Deterministic Linear Array Programs
Precondition inference is an important problem with many applications. Existing precondition inference techniques for programs with arrays have...
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Misleading Inference Generation via Proximal Policy Optimization
In this paper, we propose to investigate Misleading Inference Generation, a new natural language generation task. The goal is to generate a...
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Competing hypotheses and abductive inference
This paper explores the nature of competition between hypotheses and the effect of failing to model this relationship correctly when performing...
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A Comparison of Explanatory Measures in Abductive Inference
Computer simulations have been carried out to investigate the performance of two measures for abductive inference, Maximum Likelihood (ML), and...
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Faster horn diagnosis - a performance comparison of abductive reasoning algorithms
Abductive inference derives explanations for encountered anomalies and thus embodies a natural approach for diagnostic reasoning. Yet its...
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A Reinforcement Learning Approach for Abductive Natural Language Generation
Teaching deep learning models commonsense knowledge is a crucial yet challenging step towards building human-level artificial intelligence. Abductive...
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Tool-Augmented Human Creativity
Creativity is the hallmark of human intelligence. Roli et al. (Frontiers in Ecology and Evolution 9:806283, 2022) state that algorithms cannot...
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Inference to the Stable Explanations
The process of explaining a piece of evidence by constructing a set of assumptions that are a good explanation for that evidence is ubiquitous in...
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Enabling Human-Centered Machine Translation Using Concept-Based Large Language Model Prompting and Translation Memory
This study evaluates a novel human-machine collaborative machine translation workflow, enhanced by Large Language Model features, including...
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LGEM+: A First-Order Logic Framework for Automated Improvement of Metabolic Network Models Through Abduction
Scientific discovery in biology is difficult due to the complexity of the systems involved and the expense of obtaining high quality experimental...
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Combining Theory of Mind and Abduction for Cooperation Under Imperfect Information
In this paper, we formalise and implement an agent model for cooperation under imperfect information. It is based on Theory of Mind (the cognitive...
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A Concise Ontology to Support Research on Complex, Multimodal Clinical Reasoning
When clinicians perform tasks involving clinical reasoning, such as the diagnosis or treatment of diabetes, multiple forms of reasoning, including...