In recent years, participatory planning is receiving special attention in both policy and research discussions on sustainability transitions in the agri-food system, with an important development i...
It represents the integration of science, technology, engineering, and mathematics (STEM), which has been highlighted in the current technology-empowered society. AI education has posed fundamental challenges to early childhood education (ECE), including (1) why AI is necessary and appropriate for ...
Ontological Foundations of Data Modeling In Information Systems In this paper we present propositions which we have argued elsewhere concerning ontology and data models. Additionally, we present evidence relating to our... S Milton,E Kazmierczak,L Thomas 被引量: 40发表: 2000年 Building ontologies fo...
Clinical coding is the task of transforming medical information in a patient’s health records into structured codes so that they can be used for statistical analysis. This is a cognitive and time-consuming task that follows a standard process in order t
摘要: Artificial Intelligence : What Is It?(3)(What's AI?(3)) Mizoguchi Riichiro Journal of Japanese Society for Artificial Intelligence 28(3), 486-494, 2013-05-01关键词: intelligence artificial intelligence intelligent behavior knowledge ontological engineering ...
The paper relates the basic ontological categories defined by Roman Ingarden to an engineering model of function known by the name of Functional Basis. The intended aim of this exercise in applied philosophy is to make this model more consistent and outline some possible extensions thereof. Similar...
aObjectivism: An ontological and epistemological view that contends that reality exists outside of the individual and consists of specific entities. Objectivism : 主张的一个存在论和认识论看法现实存在个体外面并且包括具体个体。[translate] aI have not time 我没有时间[translate] ...
afresh in the presentcontext of knowledge management. That context is illuminated in PierreGrenon’s ‘A Primer on Knowledge Management and OntologicalEngineering’ (Chapter 3). Grenondraws upon non-technological examplesfor two purposes: first, to explain the task of knowledge management tonon-...
The need for the clear conceptualisation of artefactual function is alleviated by the known discrepancies between different engineering models. In order to tackle the issue of ontological categorisation, I will pick up one engineering model of functions and one ontological theory and try to match the...
Machine learning methodologies encode correlations but not causation or ontological relationships. For example, they cannot learn from the probability that “rain clouds cause rain”. Symbolic regression or planning is still a core challenge for both physics and AI, although there has recently been ...