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
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
Chaos, the perfect environment for disruptive innovations
Nobody, in rational argument, wants chaos, at least for themselves. And, for common sense, for the suffering and social problems that it has the potential to cause, as we are living today, I think that it should never be desired for any …. Read More
Joining intelligence and simulated reality in people and machines in the new normal Capital Market
The reality of the new normal is that it has never been more necessary to simulate the most varied markets, their features, and their actors. And tools for that are not lacking, leveraged precisely by this condition. And, unless you consider and …. Read More
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
