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.

Wegner's monograph presents the view that conscious will is a feeling that we experience when we perform an action through a mechanistic process of the brain, rather than a mental force that causes the action. The view is supported by several lines of evidence in which conscious will is dissociated from the actual performance of voluntary movements, as in automatism. The book further extends an insightful analysis of the mental system behind the illusion of conscious will and inspires neuroscientists to (...) reflect on its neural substrates. (shrink)

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

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。.

Wenn auch das Postulat vollständiger Autarkie in der Gegenwart an Bedeutung verloren hat, so ist doch die Forderung nach einer begrenzten Autarkie der Staaten wenigstens in bestimmten Wirtschaftsbereichen grundsätzlich unentbehrlich für ihr friedliches Nebeneinanderbestehen. Das damit angesprochene Problem läßt sich am negativ zu bewertenden Beispiel Japans sehr deutlich aufzeigen, einem Land, das einerseits seinen ungewöhnlichen Reichtum der Ausbeutung anderer nicht industrieller Staaten verdankt, das andererseits jedoch im Bereich der Agrarwirtschaft vom Ausland abhängig ist. In einer solchen unbalancierten wechselseitigen Abhängigkeit liegen (...) prinzipielle Gefahren für eine friedliche Koexistenz. (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)

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)

This volume concludes the two-volume sequel to Masao Abe's Zen and Western Thought. Like its companion, Buddhism and Interfaith Dialogue, this work contains many previously published essays and papers by Abe. Here he clarifies the true meaning of Buddhist emptiness in comparison with the Aristotelian notion of substance and the Whiteheadean notion of process.

本书对西方思想结构和思维方式作了相当深的探讨,力图澄清西方对禅的种种误解,同时对禅学和佛教,作了严密的逻辑论证。.