Cognitive Robots and the Conscious Mind: A Review of the Global Workspace Theory

Abstract Purpose of Review The theory of consciousness is a subject that has kept scholars and researchers challenged for centuries. Even today it is not possible to define what consciousness is. This has led to the theorization of different models of consciousness. Starting from Baars’ Global Workspace Theory, this paper examines the models of cognitive architectures that are inspired by it and that can represent a reference point in the field of robot consciousness. Recent Findings Global Workspace Theory has recently been ranked as the most promising theory in its field. However, this is not reflected in the mathematical models of cognitive architectures inspired by it: they are few, and most of them are a decade old, which is too long compared to the speed at which artificial intelligence techniques are improving. Indeed, recent publications propose simple mathematical models that are well designed for computer implementation. Summary In this paper, we introduce an overview of consciousness and robot consciousness, with some interesting insights from the literature. Then we focus on Baars’ Global Workspace Theory, presenting it briefly. Finally, we report on the most interesting and promising models of cognitive architectures that implement it, describing their peculiarities.

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A Feasibility Study of the Application of Artificial Intelligence Techniques for Turbomachinery Diagnostics

Volume 4: Manufacturing Materials and Metallurgy; Ceramics; Structures and Dynamics; Controls, Diagnostics and Instrumentation; Education; Process Industries ◽

10.1115/85-gt-102 ◽

1985 ◽

Cited By ~ 1

Author(s):

Cyrus B. Meher-Homji

Keyword(s):

Artificial Intelligence ◽

Expert System ◽

Expert Systems ◽

Feasibility Study ◽

Online Monitoring ◽

System Development ◽

Diagnostic Process ◽

Computer Implementation ◽

Diagnostic Systems ◽

Artificial Intelligence Techniques

This paper presents a study into the application of Artificial Intelligence (AI) techniques (specifically Expert Systems) to the problem of turbomachine diagnostics. The diagnostic process is described and a model for computer implementation provided. Some diagnostic examples are provided to explain the methodology. Expert system development is underway at the author’s corporation for incorporation in online monitoring and diagnostic systems.

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Reconhecimento de objetos baseado em uma arquitetura neuro-cognitiva

10.31414/ee.2020.d.131148 ◽

2020 ◽

Author(s):

◽

L. A. Lopes

Keyword(s):

Artificial Intelligence ◽

Object Recognition ◽

Mathematical Models ◽

Associative Memory ◽

Image Database ◽

Human Mind ◽

Cognitive Models ◽

Cognitive Architectures ◽

Memory Module ◽

Intelligent Machines

In the last three decades, the development of models that aim to create intelligent machines has gained more attention from researchers, rapidly evolving. In the Artificial Intelligence field two different approaches were advanced by researches. In the first approach, scientists from different areas are dedicated to develop cognitive models based on the human mind, establishing discoveries in fields related to psychology and neuroscience, such as the LIDA architecture, which is perhaps the best-known example of this type of initiative. In the second path, the researchers solve problems in a simple way from autonomous mathematical models, without worrying about using the complexity of human mind, as is possible to see with YOLO, which is an advanced algorithm for object recognition. In this work, an approach is proposed using cognitive architectures based on the structure of already established cognitive models, seeking an improvement in their results by adding dynamics that simulate the human mind. In the proposal of this work, YOLO composes the Perceptual Associative Memory module that performs object recognition, having added a Transient Episodic Memory module. The latter is responsible for adding a recent memory to the intended architecture, which combined with attention codelets, allows the object tracker to decide when the Associative Perceptual Memory should be activated, using different algorithms for such tasks. Experiments were conducted on the TV77 image database, that gather videos from different Datasets known in the academy. Thus, tasks performance after object recognition were measured and displayed with its original implementation, obtaining faster execution in processing, without losing the model’s overall accuracy.

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CHALLENGES OF USING DIFFERENT MATHEMATICAL MODELS FOR LOAD BALANCING OPTIMIZATION IN MULTI-CORE COMPUTING SYSTEMS

Azerbaijan Journal of High Performance Computing ◽

10.32010/26166127.2020.3.2.190.195 ◽

2020 ◽

Vol 3 (2) ◽

pp. 190-195

Author(s):

Nigar Ismayilova ◽

Keyword(s):

Artificial Intelligence ◽

Load Balancing ◽

Mathematical Models ◽

Dynamic Environment ◽

Computing Systems ◽

Artificial Intelligence Techniques

This paper examines the role of applying different artificial intelligence techniques for the implementation of load balancing in the dynamic environment of distributed multi-core computing systems. Were investigated several methods to optimize the assignment process between computing nodes and executing tasks after the occurrence of a dynamic and interactive event, when traditional discrete load balancing techniques are ineffective.

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A Combination Model of Multiple Artificial Intelligence Techniques Based on Genetic Algorithms for Investment Decision Support Aid : An Application to KOSPI

The e-Business Studies ◽

10.15719/geba.10.1.200903.215 ◽

2009 ◽

Vol 10 (1) ◽

pp. 215-236 ◽

Cited By ~ 2

Author(s):

안현철 ◽

Hyoung-yong Lee

Keyword(s):

Artificial Intelligence ◽

Genetic Algorithms ◽

Decision Support ◽

Investment Decision ◽

Artificial Intelligence Techniques ◽

Combination Model

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A Survey on Artificial Intelligence Techniques to Prevent Cyber Crime

International Journal of Advanced Research in Computer Science and Software Engineering ◽

10.23956/ijarcsse.v8i5.669 ◽

2018 ◽

Vol 8 (5) ◽

pp. 80

Author(s):

Juveriya Afreen

Keyword(s):

Artificial Intelligence ◽

Cyber Security ◽

Data Security ◽

Human Reasoning ◽

Cyber Crime ◽

Artificial Intelligence Techniques

Abstract-- With increase in complexity of data, security, it is difficult for the individuals to prevent the offence. Thus, by using any automation or software it’s not possible by only using huge fixed algorithms to overcome this. Thus, we need to look for something which is robust and feasible enough. Hence AI plays an epitome role to defense such violations. In this paper we basically look how human reasoning along with AI can be applied to uplift cyber security.

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Interpretation of the impact parameter of acid-base status and electrolytes in blood gas analysis in the pulmonary system using artificial intelligence techniques

Computer Science and Systems Engineering ◽

10.2495/csse140691 ◽

2015 ◽

Author(s):

E. Beganović ◽

Z. Avdagić ◽

S. Omanović

Keyword(s):

Artificial Intelligence ◽

Impact Parameter ◽

Blood Gas Analysis ◽

Gas Analysis ◽

Blood Gas ◽

Acid Base ◽

Artificial Intelligence Techniques ◽

Pulmonary System ◽

Acid Base Status ◽

The Impact

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SISTEM PAKAR MENDIAGNOSA VIRUS MAYORA DENGAN METODE VARIABLE CENTERED INTELLIGENT RULE SYSTEM (VCIRS)

KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) ◽

10.30865/komik.v2i1.916 ◽

2018 ◽

Vol 2 (1) ◽

Author(s):

Siti Nurhena ◽

Nelly Astuti Hasibuan ◽

Kurnia Ulfa

Keyword(s):

Artificial Intelligence ◽

Immune System ◽

Expert System ◽

Expert Systems ◽

Dengue Hemorrhagic Fever ◽

Hemorrhagic Fever ◽

Visual Basic ◽

Artificial Intelligence Techniques ◽

Individual Needs ◽

Rule System

The diagnosis process is the first step to knowing a type of disease. This type of disease caused by mosquitoes is one of the major viruses (MAVY), dengue hemorrhagic fever (DHF) and malaria. Sometimes not everyone can find the virus that is carried by this mosquito, usually children who are susceptible to this virus because the immune system that has not been built perfectly is perfect. To know for sure which virus is infected by mosquitoes, it can diagnose by seeing symptoms perceived symptoms. Expert systems are one of the most used artificial intelligence techniques today because expert systems can act as consultations. In this case the authors make a system to start a diagnosis process with variable centered intelligent rule system (VCIRS) methods through perceived symptoms. With the facilities provided for users and administrators, allowing both users and administrators to use this system according to their individual needs. This expert system is made with the Microsoft Visual Basic 2008 programming language.Keywords: Expert System, Mayora Virus, Variable Centered Intelligent Rule System (VCIRS)The diagnosis process is the first step to knowing a type of disease. This type of disease caused by mosquitoes is one of the major viruses (MAVY), dengue hemorrhagic fever (DHF) and malaria. Sometimes not everyone can find the virus that is carried by this mosquito, usually children who are susceptible to this virus because the immune system that has not been built perfectly is perfect. To know for sure which virus is infected by mosquitoes, it can diagnose by seeing symptoms perceived symptoms.Expert systems are one of the most used artificial intelligence techniques today because expert systems can act as consultations. In this case the authors make a system to start a diagnosis process with variable centered intelligent rule system (VCIRS) methods through perceived symptoms.With the facilities provided for users and administrators, allowing both users and administrators to use this system according to their individual needs. This expert system is made with the Microsoft Visual Basic 2008 programming language.Keywords: Expert System, Mayora Virus, Variable Centered Intelligent Rule System (VCIRS)

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