Category: Trajecta >> Innovation

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Overcoming cognitive architecture paradigms for the evolution of decision science

Few problems present themselves as complex, in the real world, as decision-making, opening up a large field of opportunities and threats for organizations, which need decisions to be increasingly effective so that their strategies generate the expected return. In this sense, decision ….  Read More

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Why most Artificial Intelligence projects fail, and how to change this scenario

This question may seem simple, if you consider that the answer is that most projects are based on hypes approaching Artificial Intelligence (AI) solutions, mainly regarding the cognitive capabilities for solving complex or general problems. However, if we ignore this possibility, and ….  Read More

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Reasoning Learning: a new approach of cognitive architecture and machine learning via automatic and evolutionary coding models

A new approach to machine learning is proposed, different from current paradigms, such as artificial neural networks or using deep learning technologies, and focused on building cognitive architectures that learn to reason in the same way that people learn to program, creating ….  Read More