Learning algorithm for an intelligent decision making system based on multi-agent neurocognitive architectures

The paper presents the formalism of an intelligent decision-making system based on multi-agent neurocognitive architectures, which has an architectural similarity to the human brain. An invariant of the organizational and functional structure of the intellectual decision-making process based on the multi-agent neurocognitive architecture is developed. An algorithm for teaching intelligent decision-making systems based on the self-organization of the invariant of multi-agent neurocognitive architectures is presented. Using this algorithm, an intelligent agent was trained and the architecture of the learning process was built on the basis of an invariant of neurocognitive architecture. Further research is related to training an intelligent agent in more complex behavior and expanding the capabilities of an intelligent decision-making system based on multi-agent neurocognitive architectures.     

Socially emotional brain-inspired cognitive architecture framework for artificial intelligence

Artificial Intelligence of the next generation needs to interact with users socially, convincing them in its ability to understand human minds, including emotions. For this to happen, an artificial emotional intelligence is needed, capable of adequate, believable behavior in social emotional interactions. Building on previous developments, the present work extends the general framework of emotional Biologically Inspired Cognitive Architecture (eBICA: Samsonovich, 2013, 2018), endowing it with fluents describing, in addition to appraisals, somatic markers, feelings, emotions, moods, emotional reactions and biases. Key building blocks that integrate them are moral schemas and semantic maps. The model describes interaction of three factors: plans and commitments, moral and ethical values, and somatic comfort. Learning in this framework includes self-organization of semantic maps that in turn may provide guidance for active humanlike learning. Implications for empirical studies and practical applications are discussed together with the expected impact.     

Handing control back to drivers: Exploring the effects of handover procedure during transitions from Highly Automated Driving

The operational capabilities of automated driving features are limited and sometimes require drivers’ intervention through a transition of control. Assistance at an operational level might be extremely beneficial during transitions but the literature lacks evidence on the topic. A simulator study was conducted to investigate the potential impacts that lateral assistance systems might have while the Automated Driving System (ADS) hands back control to the driver. Results showed that drivers benefitted from a strong Lane Keeping Assist during the first phase of the transfer, helping them to keep the lane centre. However, assisting the drivers at an operational level did not enhance their capability of addressing a more complex task, presented as a lane change. In fact, it was more task-specific assistance (Blind-spot assist) that allowed drivers to better cope with the tactical decision that the lane change required. Moreover, longer exposure to lane-keeping assist systems helped them in gaining awareness of the surrounding traffic and improved the way drivers interacted with the Blind-spot assist.     

Cognitive technology to capture deep computational concepts with combinators

Computational activity is now recognized as a natural science, and computational and information processes have been discovered in the deep structures of many areas. Computations in the natural world were present long before the invention of computers, but a remarkable shift in understanding its fundamental nature occurs, in fact, before our eyes. The present moment, in fact, is a transition from the concept of computer science as an artificial science to the understanding that information processes are abundant in nature. Computing is recognized as a natural science that studies natural and artificial information processes.In everyday computing, operations are performed on the individual generators, with little attention paid to their internal structure. However, many common operations consist of more primitive constructions connected by a combination mode. The interaction of information processes and corresponding structures is carried out in an environment of “applicative interaction”, their applications to each other, and the study of the properties of this environment allows us to understand the nature of the computations.In the present work, the main attention is paid to elucidating the technological features of computations with individual generators, or objects. Their interaction is considered in an applicative environment, which allows us to elucidate the internal structure of ordinary operations, the knowledge of which allows us to understand their properties. The choice of initial constant generators, considered as generic ones and expressed by combinators, is discussed. These initial generators are used as the main “building blocks” that occur within the larger blocks of the applicative environment in interaction with each other. As a result of the interaction, constructions arise that give representative sets of ordinary operators and embedded computing systems.     

Theological Implications of Young Earth Creationism and Intelligent Design: Emerging Tendencies of Scientism and Agnosticism

Abstract

Creationism is a worldview that does not accept the undirected formation and development of life but requires intelligent (supernatural) intervention. We analyzed texts representing Young Earth creationism (YEC) and intelligent design (ID) for their theological content and implications by assessing their position in central issues of systematic theology. YEC proponents emphasize the young age of the Earth and the necessity of literal interpretation of Genesis as prerequisites for the Fall and redemption. ID accepts the geological age of the planet, but requires intervention during evolution. YEC maintained the traditional characteristics of the Christian God (omnipotence, omniscience, benevolence), while some ID authors refused to speculate on the nature of the alleged designer. YEC authors utilized reinterpretation of scientific data as evidence for creation and to legitimize their belief in the historicity of Genesis. This could be regarded a form of scientism. YEC theodicy concentrated on the Fall as the cause of evil and the eschatological resolution of suffering. In contrast, ID proponents attempted to solve theodicy by compensated benefits of, e.g., pain. ID did not take a clear stand regarding salvation and ecclesiology, but YEC authors considered the acceptance of evolutionary theory and Christian faith to be mostly inconsistent. YEC doctrine differed from major Christian denominations by accepting scientific evidence as a proof for the historicity of Genesis and showed signs of exclusivity regarding evolutionary proponents. In ID, no satisfactory theodicy could be observed and some ID theorists could be classified as agnostics because of doubting the identity of the designer and by limiting God's omnipotence and benevolence. Both YEC and ID demonized evolutionary theory and its proponents. Creationism seems to be on its way to becoming a new kind of denomination or an emerging novel religion.     

What is the Philosophy of Information?

Computational and information-theoretic research in philosophy has become increasingly fertile and pervasive, giving rise to a wealth of interesting results. In consequence, a new and vitally important field has emerged, the philosophy of information (PI). This essay is the first attempt to analyse the nature of PI systematically. PI is defined as the philosophical field concerned with the critical investigation of the conceptual nature and basic principles of information, including its dynamics, utilisation, and sciences, and the elaboration and application of information-theoretic and computational methodologies to philosophical problems. I argue that PI is a mature discipline for three reasons: it represents an autonomous field of research; it provides an innovative approach to both traditional and new philosophical topics; and it can stand beside other branches of philosophy, offering a systematic treatment of the conceptual foundations of the world of information and the information society.     

Representing decision-makers using styles of behavior: An approach designed for group decision support systems

Supporting decision-making processes when the elements of a group are geographically dispersed and on a tight schedule is a complex task. Aiming to support decision-makers anytime and anywhere, Web-based group decision support systems have been studied. However, the limitations in the decision-makers’ interactions associated to this scenario bring new challenges. In this work, we propose a set of behavioral styles from which decision-makers’ intentions can be modelled into agents. The goal is that, besides having agents represent typical preferences of the decision-makers (towards alternatives and criteria), they can also represent their intentions. To do so, we conducted a survey with 64 participants in order to find homogeneous operating values so as to numerically define the proposed behavioral styles in four dimensions. In addition, we also propose a communication model that simulates the dialogues made by decision-makers in face-to-face meetings. We developed a prototype to simulate decision scenarios and found that agents are capable of acting according to the decision-makers’ intentions and fundamentally benefit from different possible behavioral styles, just as a face-to-face meeting benefits from the heterogeneity of its participants.     

Salvaging the Biological Design Argument in Light of Darwinism?

It is a common assumption that biological organisms appear as though they were designed. Prior to the Darwinian revolution, the order of biological organisms was often taken as a sign of their divine Creator. It is also commonly argued that Darwinian evolutionary theory as a good explanation for the adaptive complexity of biology reveals this appearance to be merely an illusion. However, in recent philosophical discussion several defenses of the compatibility of divine design and Darwinian evolution have emerged. These defenses insist not only that divine design and evolution are compatible, but even that biological organisms can continue to function as pointers to the Creator, even in a Darwinian cosmos. This article explores and extends these recent arguments. I analyze four different strategies for arguing that the wisdom of the Creator is apparent in biological organisms. The basic underlying assumption is that the products of some larger whole can reflect the rationality and designedness of that whole.     

Hack or Die: How Humanity Steers Into Its Post-Digital Future

This article introduces stories as a link between culture and evolution. It elaborates how the decline of interhuman communication leads to a loss of perception, capability for cooperation, and human intelligence and contributes to the current ecocide. It shows how cybernetics hacked the relationship between evolution and machine development, which brought forth the outlines of man’s current digital transformation and future. It suggests that Lucas Pawlik is still working on a possible sustainable future for humanity that Heinz von Foerster tried to initiate.     

Experience-grounded semantics: a theory for intelligent systems

An experience-grounded semantics is introduced for an intelligent reasoning system, which is adaptive, and works with insufficient knowledge and resources. According to this semantics, truth and meaning are defined with respect to the experience of the system – the truth value of a statement indicates the amount of available evidence, and the meaning of a term indicates its experienced relations with other terms. The major difference between experience-grounded semantics and model-theoretic semantics is that the former does not assume the sufficiency of knowledge and resources. This approach provides new ideas to the solution of some important problems in cognitive science.