Abstract
Locked and unlocked strategies are illustrated in this article as concepts that deal with important cognitive aspects of deep learning systems. They indicate different inference routines that refer to poor (locked) to rich (unlocked) cases of creative production of creative cognition. I maintain that these differences lead to important consequences when we analyze computational deep learning programs, such as AlphaGo/AlphaZero, which are able to realize various types of abductive hypothetical reasoning. These programs embed what I call locked abductive strategies, so, even if they present spectacular performances for example in games, they are characterized by poor types of hypothetical creative cognition insofar as they are constrained in what I call eco-cognitive openness. This openness instead characterizes unlocked human cognition that pertains to higher kinds of abductive reasoning, in both the creative and diagnostic cases, in which cognitive strategies are instead unlocked. This special kind of “openness” is physically rooted in the fundamental character of the human brain as an open system constantly coupled with the environment (that is, an “open” or “dissipative” system): its activity is the uninterrupted attempt to achieve the equilibrium with the environment in which it is embedded, and this interplay can never be switched off without producing severe damage to the brain. The brain cannot be conceived as deprived of its physical quintessence that is its openness. In the brain, contrary to the computational case, ordering is not derived from the outside thanks to what I have called in a recent book “computational domestication of ignorant entities”, but it is the direct product of an “internal” open dynamical process of the system.
Highlights
In this article, the key terms refer to what I call locked and unlocked strategies, seen as concepts that deal with important cognitive features of deep learning systems
When we look at computational deep learning programs such as AlphaGo/AlphaZero, which can perform various sorts of abductive hypothetical reasoning, I believe the distinction above is of crucial importance
Go is a game played by human agents, and AlphaGo is an automatic computational deep learning program that plays that game and is able to compete with humans
Summary
The key terms refer to what I call locked and unlocked strategies, seen as concepts that deal with important cognitive features of deep learning systems. When we look at computational deep learning programs such as AlphaGo/AlphaZero, which can perform various sorts of abductive hypothetical reasoning, I believe the distinction above is of crucial importance These programs contain what I refer to as locked abductive strategies, and as a result, even if they produce spectacular results in games, they are characterized by poor types of hypothetical creative cognition in the sense that they are constrained in what. Philosophies 2022, 7, 15 methods are unlocked This unique kind of openness is physically rooted in the human brain’s fundamental character as an open system constantly coupled with the environment (that is, a n“open” or “dissipative” system, the last key term introduced in this article): its activity is the continuous attempt to achieve equilibrium with the environment in which it is embedded, and this interplay can never be turned off without severe brain damage. In contrast to the computational situation, ordering in the brain is not derived from the outside
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
