Abstract
The aim of the article is to propose a conceptual framework, constructs, and conjectures to act as a guide for future, related research finalized to design and implement versions of Artificial Intelligence encompassing an artificially simulated unconscious suitable for human-like artificial cognitive processing. This article considers the concept of the unconscious in psychoanalysis. The interdisciplinary understanding of this concept is considered to be the unavoidable property of sufficiently complex, cognitive processing. We elaborate on the possibility of an artificial unconscious, able to both self-acquired properties through usage, and self-profile through a supposed implicit, parasitic usage of explicit cognitive processing. Memory activities are considered to be integrated into cognitive processing, with memory no longer only being storage and reminding no longer only being finding. We elaborate on the artificial unconscious as an implicit, usage-dependent, self-profiling, and emergent process. Conceptual characteristics of the research project are the implementation of weighted networked, fuzzified memorizations; self-generated networks of links of inter-relationships as nodes, self-variation of the intensity of the links according to the use, and activation of internal self-processes such as the introduction of fictitious links intended as variations and combinations of the current ones. Application examples suitable for experimental implementation are also discussed with reference to chatbot technology that has been extended with features of an artificial unconscious. Thus, we introduce the concept of the AU-chatbot. The main purpose is to allow the artificial cognitive processing to acquire suitable human-like attitudes in representing, interfacing, and learning, potentially important in supporting and complementing human-centered activities. Examples of expected features are the ability to combine current and unconscious links to perform cognitive processing such as representing, deciding, memorizing, and solving equivalencies, and also learning meta-profiles, such as in supporting doctor–patient interactions and educational activities. We also discuss possible technologies suitable for implementing experiments for the artificial unconscious.
Highlights
We conjecture a systemic interdisciplinary understanding, possible related approaches, and applications of the controversial concept of unconscious considered in philosophy, in psychoanalysis by Sigmund Freud [4], and as a subject of research for medical applications
We initiate by considering a pending question in the field of cognitive science ([10] pp. 394–397): “to what degree can we consider cognition suitably equivalent to cognitive processing, and the latter symbolically and non-symbolically computable?” The conjecture considered below is that taking account of the artificial unconscious can validly extend previous approaches, for example, connectionism, and at least further approximate the equivalence between cognition and cognitive processing
The process of answering, i.e., remembering and recalling, is a cognitive process in which the memorizing activities are integrated. It cannot ignore the remote history such as obsolete usages, sedimentation, correlated nodes weighing less than a determined threshold, and clusters with reduced numbers of belongings, all with low-frequency fuzzifying usages, corresponding to their being removed, ignorable, evaporated, residue, minimally represented, implicit and invented past
Summary
We conjecture a systemic interdisciplinary understanding, possible related approaches, and applications of the controversial concept of unconscious considered in philosophy (see, for instance, [1,2,3]), in psychoanalysis by Sigmund Freud [4], and as a subject of research for medical applications. The article puts forward various hypotheses and conjectures to be considered in possible research projects allowing implemented versions of Artificial Intelligence (AI) encompassing an artificial, simulated unconscious suitable for human-like artificial cognitive processing. Experimental usage of the AI system by forcing same changes such as varying its current parameters, network properties among memorizations and usage of fictitious links Advantages/Disadvantages
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