![]() ![]() Learning from experience is barely a foreign concept – we’ve actually been doing this our whole lives. Every action has a result, whether positive or negative, and we can learn from this result and apply what we’ve learnt the next time we take a similar action. Simply put, ‘action learning’ is learning from experience. Following ‘Action Learning Cycles’ is one such approach that we try to incorporate at Mobenzi. We propose that such a mechanism might play a more widespread role in the “piercing of consciousness” by non-conscious thought processes.There are many ways to solve a problem, and a vast number of approaches your team can follow to come up with the best solution. Thus, conscious awareness of having reached a decision appears to arise when the brain’s representation of accumulated evidence reaches a threshold or bound. ![]() The quality of the prediction provides compelling evidence that these subjective reports correspond to the terminating process of a decision rather than a post hoc inference or arbitrary report. ![]() The fits to the t SDs alone furnished parameters that fully predicted the choices (accuracy) of four of the five participants. The subjective decision times ( t SDs) were faster on trials with stronger (easier) motion, and they were well fit by a bounded drift-diffusion model. After indicating their choice, participants adjusted the setting of a clock to the moment they felt they had reached a decision. The difficulty and viewing duration were controlled by the experimenter. We asked human participants to make perceptual decisions about the net direction of dynamic random dot motion. We hypothesized that this occurs when an accumulation of evidence reaches a termination threshold, registered, subjectively, as an “aha” moment. In many situations, a decision maker may not communicate a decision immediately and yet feel that at some point she had made up her mind. The process, termed bounded evidence accumulation (or drift diffusion), provides a unified account of decision speed and accuracy, and it is supported by neurophysiology in human and animal models. Many decisions arise through an accumulation of evidence to a terminating threshold. ![]()
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September 2023
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