Consciousness is a tremendously complex phenomenon. We examined the configurations and functions of an autonomously adaptive system that can adapt to an environment without a teacher to understand this complex phenomenon in the easiest way possible, and proposed a modeling method of consciousness on the system. In modeling of consciousness, it is important to note the difference between phenomenal consciousness and functional consciousness. To clarify the difference, a model with two layers, a physical layer and a logical layer, is proposed. (...) The functions of primitive consciousness on the autonomously adaptive system were clarified on the model. The physical layer is composed of an artificial neural node. All signals are processed in detail by the neural nodes. Contrarily, minimum information, necessary for the system to adapt itself, selected from the physical layer composes the logical layer. The operations in the logical layer are represented by interactions between only the selected information. Our daily conscious phenomenon is expressed on the logical layer. (shrink)

The currently leading cognitive theory of consciousness, Global Workspace Theory,1,2 postulates that the primary functions of consciousness include a global broadcast serving to recruit internal resources with which to deal with the current situation and to modulate several types of learning. In addition, conscious experiences present current conditions and problems to a "self" system, an executive interpreter that is identifiable with brain structures like the frontal lobes and precuneus.1Be it human, animal or artificial, an autonomous agent3 is said to be (...) functionally conscious if its control structure (mind) implements Global Workspace Theory and the LIDA Cognitive Cycle, which includes unconscious memory and control functions needed to integrate the conscious component of the system. We would therefore consider humans, many animals4 and even some virtual or robotic agents5,6 to be functionally conscious. Such entities may approach phenomenal consciousness, as found in human and other biological brains, as additional brain-like features are added.Here we argue that adding mechanisms to produce a stable, coherent perceptual field7 in a LIDA controlled mobile robot might provide a small but significant step toward phenomenal consciousness in machines.>8 We also propose that implementing several of the various notions of self in such a LIDA controlled robot may well prove another step toward phenomenal consciousness in machines. (shrink)

Ricardo Sanz, Int. J. Mach. Conscious., 06, 55 (2014). DOI: 10.1142/S1793843014400095.

The study outlines the existing and potential philosophical issues of the idea of conscious machines originated from the development of artificial consciousness within the framework of contemporary research of artificial intelligence and cognitive robotics. The outline shows that the idea of conscious machines is concerned with two big philosophical issues. The first philosophical issue is a definition of consciousness, taking into account the selection of a set of objects that can have consciousness, the typology of consciousness, the clarifying of the (...) nature of consciousness' carriers and the relationship between consciousness and its environment and the relationship between consciousness and language, in order to create an artificial consciousness within a machine, making that machine conscious. The second philosophical issue is a clarification whether only artificially created machines can be conscious machines, or cyborgizated human beings also can be considered of conscious machines. These philosophical issues show that there can be two ways to create conscious machines: 1) the creating of artificial consciousness within artificially created machine; and 2) the cyborgization of human being, transforming it into artificially created machine possessed natural consciousness. (shrink)

The accurate measurement of the level of consciousness of a creature remains a major scientific challenge, nevertheless a number of new accounts that attempt to address this problem have been proposed recently. In this paper we analyze the principles of these new measures of consciousness along with other classical approaches focusing on their applicability to Machine Consciousness (MC). Furthermore, we propose a set of requirements of what we think a suitable measure for MC should be, discussing the associated theoretical and (...) practical issues. Using the proposed requirements as a framework for the design of an integrative measure of consciousness, we explore the possibility of designing such a measure in the context of current state of the art in consciousness studies. (shrink)

Pentti O. Haikonen, Int. J. Mach. Conscious., 06, 71 (2014). DOI: 10.1142/S1793843014400125.

It is argued here that the phenomenon of consciousness is nothing more than a special way of a subjective internal appearance of information. To explain consciousness is to explain how this subjective internal appearance of information can arise in the brain. To create a conscious robot is to create subjective internal appearances of information inside the robot. Other features that are often attributed to the phenomenon of consciousness are related to the contents of consciousness and cognitive functions. The internal conscious (...) appearance of these is caused by the mechanism that gives rise to the internal appearances in the first place. A useful conscious robot must have a variety of cognitive abilities, but these abilities alone, no matter how advanced, will not make the robot conscious; the phenomenal internal appearances must be present as well. The Haikonen Cognitive Architecture (HCA) tries to facilitate both internal appearances and cognitive functions. The experimental robot XCR-1 is the first implementation experiment with the HCA. (shrink)

Virtual environments engage millions of people and billions of dollars each year. What is the ontological status of the virtual objects that populate those environments? An adequate answer to that question requires a developed semantics for virtual environments. The truth-conditions must be identified for “tree”-sentences when uttered by speakers immersed in a virtual environment (VE). It will be argued that statements about virtual objects have truth-conditions roughly comparable to the verificationist conditions popular amongst some contemporary antirealists. This does not mean (...) that the virtual objects lack ontological standing. There is an important sense in which virtual objects are no less real for being mind-dependent. (shrink)

In diesem Beitrag werden die Anstrengungen von Forschern beschrieben, die sich mit Datenverarbeitungsgeräten und Informationsanalysen beschäftigen, um die Grundvoraussetzungen zu schaffen für ein adäquates Verständnis von Bewusstsein sowie Spekulationen darüber, welche Schritte erforderlich sind, um eine mit einem Bewusstsein ausgestattete Maschine herzustellen. Während die Beiträge einiger Forscher im Einzelnen vorgestellt werden, bleiben andere Urheber erwähnter Spekulationen unerwähnt. Der Verfasser unterscheidet zwischen einem funktionalen und einem phänomenologischen Ansatz. Er zeigt auf, dass der funktionale Ansatz in algorithmischen, auf konventionellen Programmierungsmethoden gründenden Methoden (...) resultiert, der phänomenologische Ansatz wiederum in neuralen Netzwerkanalysen. Sodann widmet sich der Verfasser zahlreichen offenen Fragen, die aus diesem Ansatz hervorgehen, und stellt Überlegungen über die möglichen Ergebnisse zukünftiger Forschungen an. (shrink)

L’article décrit les efforts employés par ceux qui travaillent sur des machines et des analyses informationnelles afin de fournir des clés de compréhension de la conscience et des hypothèses sur les moyens nécessaires à la fabrication d’une machine consciente. Le texte mentionne certaines origines de ces considérations et fait le compte rendu des contributions de plusieurs chercheurs. Une distinction est établie entre les approches fonctionnelles et phénoménologiques. Les premières mènent aux méthodes algorithmiques fondées sur la programmation conventionnelle, tandis que les (...) secondes mènent aux analyses du réseau neural. Le texte attire l’attention sur de nombreuses questions ouvertes suscitées par cette approche et comporte des réflexions sur des travaux futurs. (shrink)