منابع مشابه
Cognition and asynchronous distribution between human and machine building accidents.
The creation of meaning in communication is a trading activity, resulting from the construction that is born of the interaction between subjects. That is, the meaning is not inherent to the relationship between words, signs and symbols that arise from negotiating a necessary and unavoidable. As the concepts of sense as discrete and static representations imply a notion of classical computing an...
متن کاملThe Second International Workshop on Human and Machine Cognition - Report
Human and Machine Cognition was held on 9–11 May 1991. Participation was limited to 40 researchers who are principally involved in computer science, philosophy, and psychology. The workshop focused on the foundational and methodological concerns of those who want to forge a robust and scientifically respectable AI and cognitive science. With the theme of “What do androids know, and when do they...
متن کاملConnecting human and machine learning via probabilistic models of cognition
Human performance defines the standard that machine learning systems aspire to in many areas, including learning language. This suggests that studying human cognition may be a good way to develop better learning algorithms, as well as providing basic insights into how the human mind works. However, in order for ideas to flow easily from cognitive science to computer science and vice versa, we n...
متن کاملMachine Cognition Models: EPAM and GPS
Through history, the human being tried to relay its daily tasks to other creatures, which was the main reason behind the rise of civilizations. It started with deploying animals to automate tasks in the field of agriculture(bulls), transportation (e.g. horses and donkeys), and even communication (pigeons). Millenniums after, come the Golden age with “Al-jazari” and other Muslim inventors, which...
متن کاملCombining machine learning and expert knowledge for classifying human posture
This paper presents a rule engine for classifying human posture according to information about the location of body parts. The rule engine was developed by enriching decision trees with expert knowledge. Results show 5 percentage points improvement in accuracy compared to support vector machines and a significant 11 percentage points compared to decision trees. The incorporation of expert knowl...
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ژورنال
عنوان ژورنال: Big Data Mining and Analytics
سال: 2020
ISSN: 2096-0654
DOI: 10.26599/bdma.2020.9020009