The Design Inference: Eliminating Chance through Small Probabilities, Second Edition by William A. Dembski

Adaptive modelling of spatial diversification of soil classification units by Urbański Krzysztof, Gruszczyński Stanisław

“…However, the results also showed that it cannot be concluded that the best algorithm presented in this research can be regarded as a general principle of system design inference.…”
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A Gaussian-Shaped Fuzzy Inference System for Multi-Source Fuzzy Data by Yun Zhang, Chaoxia Qin

“…GFIS uses it to dynamically granulate fusion inputs and to design inference rules. This proposed membership function has the advantage of being able to adapt to changing information sources. …”
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Multi-Source Knowledge Reasoning for Data-Driven IoT Security by Shuqin Zhang, Guangyao Bai, Hong Li, Peipei Liu, Minzhi Zhang, Shujun Li

“…In addition, we propose an IoT security ontology model, namely, the IoT Security Threat Ontology (IoTSTO), to describe the elements of IoT security threats and design inference rules for threat analysis. This IoTSTO expands the current knowledge domain of cyber security ontology modeling. …”
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A generalization of hierarchical exchangeability on trees to directed acyclic graphs by Jung, P, Lee, J, Staton, S, Yang, H

“…Motivated by the problem of designing inference-friendly Bayesian nonparametric models in probabilistic programming languages, we introduce a general class of partially exchangeable random arrays which generalizes the notion of hierarchical exchangeability introduced in Austin and Panchenko (2014). …”

Social learning in models and minds by Yon, D, Heyes, C

“…To fulfil their potential, the shiny new methods of cognitive neuroscience need to be better coordinated with old-fashioned, contrastive experimental designs. Inferences from model complexity to cognitive complexity, of the kind made by those who favour lean interpretations of behaviour (‘associationists’), require social learning to be tested in challenging task environments. …”

Social learning in models and minds by Yon, D, Heyes, C

“…To fulfil their potential, the shiny new methods of cognitive neuroscience need to be better coordinated with old-fashioned, contrastive experimental designs. Inferences from model complexity to cognitive complexity, of the kind made by those who favour lean interpretations of behaviour (‘associationists’), require social learning to be tested in challenging task environments. …”

Development of a Knowledge-Based Energy Damage for evaluating Industrialised Building Systems (IBS) Occupational Health and Safety (OHS) Risk by Abas, Nor Haslinda

“…Using the knowledge obtained in Phase I, a model was developed in the form of argument trees (Phase II), which represent a reasoning template with regard to options available to designers when they make judgements about aspects of their designs. Inferences from these aspects eventually determined the magnitude of the damaging energies for every activity involved. …”
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Flexible estimation of temporal point processes and graphs by Sulem, D

“…</p> <p>This thesis aims at designing inference methods that provide flexibility in the contexts of temporal point processes and graphs. …”