Abstract
The purpose of this extension of the ESM’2019 conference paper is to propose some means to implement an artificial thinking model that simulates human psychological behavior. The first necessary model is the time fuzzy vector space model (TFVS). Traditional fuzzy logic uses fuzzification/defuzzification, fuzzy rules and implication to assess and combine several significant attributes to make deductions. The originality of TFVS is not to be another fuzzy logic model but rather a fuzzy object-oriented model which implements a dynamic object structural, behavior analogy and which encapsulates time fuzzy vectors in the object components and their attributes. The second model is a fuzzy vector space object oriented model and method (FVSOOMM) that describes how-to realize step by step the appropriate TFVS from the ontology class diagram designed with the Unified Modeling Language (UML). The third contribution concerns the cognitive model (Emotion, Personality, Interactions, Knowledge (Connaissance) and Experience) EPICE the layers of which are necessary to design the features of the artificial thinking model (ATM). The findings are that the TFVS model provides the appropriate time modelling tools to design and implement the layers of the EPICE model and thus the cognitive pyramids of the ATM. In practice, the emotion of cognitive dissonance during buying decisions is proposed and a game addiction application depicts the gamer decision process implementation with TFVS and finite state automata. Future works propose a platform to automate the implementation of TFVS according to the steps of the FVSOOMM method. An application is a case-based reasoning temporal approach based on TFVS and on dynamic distances computing between time resultant vectors in order to assess and compare similar objects’ evolution. The originality of this work is to provide models, tools and a method to design and implement some features of an artificial thinking model.
Highlights
The simulation of the ability to think and to equip computers with an artificial psyche, a personality taking into account pathologies and emotions, represents significant challenges.This work is an extension of the proposed article at the ESM’2019 conference [1]
We firstly present the temporal fuzzy vector space (TFVS) model and the new method FVSOOMM to implement the layers of the EPICE model which provides thinking features inspired by the human being
We have presented the different layers of EPICE that are based on psychological knowledge of cognitive dissonance and the Ortony Clore and Collins model (OCC) model of emotion
Summary
The simulation of the ability to think and to equip computers with an artificial psyche, a personality taking into account pathologies and emotions, represents significant challenges. This work is an extension of the proposed article at the ESM’2019 conference [1]. It complements the feasibility, models, methods and tools available to build such systems. The challenge is the modelling of an artificial thinking model (ATM) based on perceptions of the characteristics of the world’s objects, the emotions these objects provoke and how they interact with and impact on our personality and our ability to grasp new situations and to model in a feedback loop. The Materials and Methods section proposes four contributions: The first describes the temporal fuzzy vector space (TFVS) model which is not a fuzzy logic approach but rather a fuzzy extension of object models which integrates fuzzy characteristic functions to object-attribute relationships (has-a) and composition (is-part-of) using temporal vectors
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