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。.

慶応義塾大学法学部のゼミナール「伊東乾民事訴訟法研究会」の卒業生の会「乾会」による論文集。今回はテーマを民事訴訟法に限ることなく、現在関心を持っている法律分野について執筆した。.

This volume presents the first unabridged translation of Ito Jinsai's (1627-1705) masterwork, the Gomo jigi (Philosophical Lexicography of the Analects and ...

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)

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)

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)

Die neuere Naturwissenschaft trat im 17. Jahrhundert zuerst als “Physik” auf. Man soll sich an die Gründung der modernen Dynamik von Galileo und Newton erinnern.Die methodisch-allgemeine Grundlegung dieser neuen Wissenschaft wird in der Cartesischen Philosophie am klarsten ausgedrückt.

Understanding consciousness is a truly multidisciplinary project, attracting intense interest from researchers and theorists from diverse backgrounds. Thus, we now have computational scientists, neuroscientists, and philosophers all engaged in the same effort. This book draws together the work of leading researchers around the world, providing insights from these three general perspectives. The work is highlighted by a rare look at work being conducted by Japanese researchers.

In 4.062 of the Tractatus, Wittgenstein repudiates the possibility of “mak[ing] ourselves understood with false propositions just as we have done up until now with true ones”. This chapter challenges this claim by distinguishing two possible cases in which people communicate truth-apt information through false propositions. The first case presents a semantic option, where false propositions become true “construed in the new way” while people aim at conveying truths, whereas the second case presents a pragmatic option, where false propositions remain (...) false while people aim at falsehoods. Wittgenstein’s conclusion applies to the semantic, but not to the pragmatic option. The possibility of falsity-directed communication enables us to reconstruct Dummett’s argument from his analogy between truth and winning, which refutes alethic deflationism. Finally, the chapter reconciles the debate. (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。 .