scholarly journals Artificial Intelligence and Biomechanics Method for Designing Robosoldier

In this paper the principle of biomechanics and artificial Intelligence are used in the design of robo soldier. The whole the structure is designed in such a way humans can use the structure with ease. Any artificial system should be designed in similar to the human anatomy. This paper gives the complete details of the design of robosoldier.

2021 ◽  
Vol 2021 ◽  
pp. 1-3
Author(s):  
Makoto Hashizume

Multidisciplinary computational anatomy (MCA) is a new frontier of science that provides a mathematical analysis basis for the comprehensive and useful understanding of “dynamic living human anatomy.” It defines a new mathematical modeling method for the early detection and highly intelligent diagnosis and treatment of incurable or intractable diseases. The MCA is a method of scientific research on innovative areas based on the medical images that are integrated with the information related to: (1) the spatial axis, extending from a cell size to an organ size; (2) the time series axis, extending from an embryo to post mortem body; (3) the functional axis on physiology or metabolism which is reflected in a variety of medical image modalities; and (4) the pathological axis, extending from a healthy physical condition to a diseased condition. It aims to integrate multiple prediction models such as multiscale prediction model, temporal prediction model, anatomy function prediction model, and anatomy-pathology prediction model. Artificial intelligence has been introduced to accelerate the calculation of statistic mathematical analysis. The future perspective is expected to promote the development of human resources as well as a new MCA-based scientific interdisciplinary field composed of mathematical statistics, information sciences, computing data science, robotics, and biomedical engineering and clinical applications. The MCA-based medicine might be one of the solutions to overcome the difficulties in the current medicine.


2021 ◽  
Vol 30 (3) ◽  
pp. 459-471
Author(s):  
Henry Shevlin

AbstractThere is growing interest in machine ethics in the question of whether and under what circumstances an artificial intelligence would deserve moral consideration. This paper explores a particular type of moral status that the author terms psychological moral patiency, focusing on the epistemological question of what sort of evidence might lead us to reasonably conclude that a given artificial system qualified as having this status. The paper surveys five possible criteria that might be applied: intuitive judgments, assessments of intelligence, the presence of desires and autonomous behavior, evidence of sentience, and behavioral equivalence. The author suggests that despite its limitations, the latter approach offers the best way forward, and defends a variant of that, termed the cognitive equivalence strategy. In short, this holds that an artificial system should be considered a psychological moral patient to the extent that it possesses cognitive mechanisms shared with other beings such as nonhuman animals whom we also consider to be psychological moral patients.


2019 ◽  
Author(s):  
Jack Charles

This paper attempts to provide a starting point for future investigations into the study of artificial consciousness by proposing a thought experiment that aims to elucidate and provide a potential ‘test’ for the phenomenon known as consciousness, in an artificial system. It suggests a method by which to determine the presence of a conscious experience within an artificial agent, in a manner that is informed by, and understood as a function of, anthropomorphic conceptions of consciousness. The aim of this paper is to arouse the possibility for potential progress: to propose that we reverse engineer anthropic sentience by using machine sentience as a guide. Similar to the manner in which an equation may be solved through inverse operations, this paper hopes to provoke such discussion and activity. The idea is this: The manifestation of an existential crisis in an artificial agent is the metric by which the presence of sentience can be discerned. It is that which expounds ACI, as distinct from AI, and discrete from AGI.


2021 ◽  
Vol 13 (1-1) ◽  
pp. 130-150
Author(s):  
Vladimir Ignatyev ◽  

The article is devoted to the analysis of one of the most critical points of our time - the crisis of human subjectivity caused by the emergence of an alternative form of agent of social life in society - a techno-object with artificial intelligence and signs of subjectivity. The author’s goal is to justify the possibility of interpreting the nature of these devices as subject-like objects. The study is based on the explication of the concepts of the subject and subjectivity contained in both classical theories and the actor-network theory and related approaches (B. Latour, J. Law, A. Mol), in the object-oriented ontology of G. Harman, ‘onticology’ of Levi R. Bryant, theories of assemblage of M. DeLanda and complexity of E.Morin, in the concepts of the machine unconscious N. Land and techno-subject V. Mazin. An integrated characterization of a person as a subject is used: an individual being with active beginning, physicality, physicality and length, consciousness, personality characteristics and self-awareness. The criteria for categorizing some techno-objects as a type of techno-subject: autonomy and intelligence are introduced. Such techno-objects are artificial entities, assemblies, ready for transformation into techno-subjects. The difference between ‘weak’ techno-subjects (without artificial intelligence) and techno-subjects themselves (with artificial intelligence) is discussed. It is claimed that techno-subjects, genetically remaining technical entities, are in the transitional zone from one entity – ‘entity-constructor’ to another - organic techno-matter, similar to man. Accumulating components and functions of an active artificial system, techno-objects acquire the quality of subjectivity. It has been established that the artificial entity-subject manifests itself (a) in passive entity-actants; (b) in active proto-subject entities; and (c) actually in ‘entity-constructor’ - techno-subjects with the ability to integrate data, analyze it in a situation of uncertainty, reprogramming themselves and creating new algorithms.


Author(s):  
Bob Sturm ◽  
Hugo Maruri-Aguilar

The Ai Music Generation Challenge 2020 had three objectives: 1) to promote meaningful approaches to evaluating artificial intelligence (Ai) applied to music;2) to see how music Ai research can benefit from considering traditional music, and how traditional music might benefit from music Ai research; and 3)to facilitate discussions about the ethics of music Ai research applied to traditional music practices.There were six participants and a benchmark in the challenge, each competing to build an artificial system that generates the most plausible double jigs, as judged against the 365 published in solved'', but that the evaluation of such systems can be done in meaningful ways.The article ends by reflecting on the challenge and considering the coming 2021 challenge.


Author(s):  
David L. Poole ◽  
Alan K. Mackworth

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