Intelligent humanoid robots (IHRs) are becoming likely to be integrated into nursing practice. However, a proper integration of IHRs requires a detailed description and explanation of their essential capabilities, particularly regarding their competencies in replicating and portraying emotive functions such as empathy. Existing humanoid robots can exhibit rudimentary forms of empathy; as these machines slowly become commonplace in healthcare settings, they will be expected to express empathy as a natural function, rather than merely to portray artificial empathy as a replication (...) of human empathy. This article works with a twofold purpose: firstly, to consider the impact of artificial empathy in nursing and, secondly, to describe the influence of Affective Developmental Robotics (ADR) in anticipation of the empathic behaviour presented by artificial humanoid robots. The ADR has demonstrated that it can be one means by which humanoid nurse robots can achieve expressions of more relatable artificial empathy. This will be one of the vital models for intelligent humanoid robots currently in nurse robot development for the healthcare industry. A discussion of IHRs demonstrating artificial empathy is critical to nursing practice today, particularly in healthcare settings dense with technology. (shrink)

Evaluative processes have their roots in early evolutionary history, as survival is dependent on an organism’s ability to identify and respond appropriately to positive, rewarding or otherwise salubrious stimuli as well as to negative, noxious, or injurious stimuli. Consequently, evaluative processes are ubiquitous in the animal kingdom and are represented at multiple levels of the nervous system, including the lowest levels of the neuraxis. While evolution has sculpted higher level evaluative systems into complex and sophisticated information-processing networks, they do not (...) come to replace, but rather to interact with more primitive lower level representations. Indeed, there are basic features of the underlying neuroarchitectural plan for evaluative processes that are common across levels of organization—including that of evaluative bivalence. (shrink)

This article aimed to explore issues of concern related to quarantine, its social consequences and influences, challenging its effects on human behavioral expressions during social isolation. The advent of the coronavirus disease 2019 (COVID-19) pandemic impacted human lives in multifarious ways, threatening the meaning of normalcy. Quarantine, lockdown, isolation, and other terms reflecting conditions limiting human freedoms have become synonymous in importance to safety, security, and survival. To understand human defiance in the face of maintaining limited mobility during the COVID-19 (...) pandemic, reimagining situations of “unfreedoms” is explained as thinking of changes to inspire and improve the meaning of living lives meaningfully. During the pandemic, issues regarding healthcare practices and social behaviors focused much attention on interactive challenges that enhance ways to mitigate the spread of contagious diseases. Illuminating these issues, discussing concerns and highlighting recommendations to engage in alternative approaches and practices, heightens the declaration of efficiency of quarantine outcomes and effectiveness. Implications are proposed with the hope that they may lead the way forward in exercising contemporary healthcare practices. (shrink)

This study examines Itō Jinsai’s 伊藤仁斎 (1627–1705) criticisms of the Great Learning (C: Daxue大學 J: Daigaku). Three primary sources are considered: Jinsai’s Shigi sakumon私擬策問 (Personal Essays, 1668); the Daigaku teihon大學定本 (The Definitive Text of the Great Learning, manuscript 1685); and his essay, “Daigaku wa Kōshi no isho ni arazaru no ben” 大學非孔氏之遺書辨 (The Great Learning is not a Writing Confucius Transmitted, 1705), appended to his Gomō jigi語孟字義. The study suggests that Jinsai’s critical inclinations grew from his acceptance of Zhu Xi’s (...) views about the value of doubt for progress in learning. The study also suggests that Jinsai’s thinking on the Great Learning had political implications derived in many respects from Jinsai’s overall approach to philosophizing via analysis of words and their meanings. (shrink)

Reinforcement learning has recently received much attention as a learning method for complicated systems, e.g., robot systems. It does not need prior knowledge and has higher capability of reactive and adaptive behaviors. However increase in dimensionality of the action-state space makes it diffcult to accomplish learning. The applicability of the existing reinforcement learning algorithms are effective for simple tasks with relatively small action-state space. In this paper, we propose a new reinforcement learning algorithm: “Q-learning with Dynamic Structuring of Exploration Space (...) Based on Genetic Algorithm ”. The algorithm is applicable to systems with high dimensional action and interior state spaces, for example a robot with many redundant degrees of freedom. To demonstrate the effectiveness of the proposed algorithm simulations of obstacle avoidance by a 50 links manipulator have been carried out. It is shown that effective behavior can be learned by using the proposed algorithm. (shrink)

十九世紀後半における英国唯美主義を支えた日本趣味の実態はどのようなものだったのか。ロセッティ、スウィンバーン、ペイター、ワイルド、ホイッスラーらの藝術について、さらに英国唯美主義の素地としてのギリシア のエピクーロス的世界、西脇順三郎を初めとする日本の詩人達とワイルド受容、ロセッティやペイターの系譜に連なる唯美主義者としてのハーンなど、両国の藝術の関わりを悠遠な視座から読み解く比較藝術論。図版多数。 .

死後の魂のヴィジョンと永遠回帰の宇宙論を語るこの破天荒な構想力、九鬼周造とはいったい何者か。.

40億年に及ぶとされる、地球における生命の歴史。共通の祖先から進化した生きものたちは、多様でありながら共通点もあわせ持っています。いのちとは何か?いのちはどのようにして生まれたのか?どのように考えられ てきたのか?その歴史をひもときながら、私たちの来た道と、これから行く道を、探ってみましょう。.

Reinforcement learning is very effective for robot learning. Because it does not need priori knowledge and has higher capability of reactive and adaptive behaviors. In our previous works, we proposed new reinforcement learning algorithm: “Q-learning with Dynamic Structuring of Exploration Space Based on Genetic Algorithm (QDSEGA)”. It is designed for complicated systems with large action-state space like a robot with many redundant degrees of freedom. And we applied it to 50 link manipulator and effective behavior is acquired. However optimality and (...) fault tolerance of the proposed algorithm were not considered and to demonstrate effectiveness of the proposed algorithm other applications are necessary. Acquiring of locomotion patterns by a multi-legged robot is a very interesting problem. As it has many redundant degrees of freedom, application of usual reinforcement learning is difficult and an optimal locomotion has not been acquired using previous reinforcement learning algorithm. And the redundancy of the robot is effective to the fault tolerance and various locomotion patterns can be acquired for adapting the faults of the legs. In this paper, we applied QDSEGA to acquiring of locomotion pattern by the multi-legged robot and considered the optimality and fault tolerance. Effective behavior has been obtained by using our proposed algorithm. (shrink)