A two-level structure for advanced space power system automation

The tasks to be carried out during the three-year project period are: (1) performing extensive simulation using existing mathematical models to build a specific knowledge base of the operating characteristics of space power systems; (2) carrying out the necessary basic research on hierarchical control structures, real-time quantitative algorithms, and decision-theoretic procedures; (3) developing a two-level automation scheme for fault detection and diagnosis, maintenance and restoration scheduling, and load management; and (4) testing and demonstration. The outlines of the proposed system structure that served as a master plan for this project, work accomplished, concluding remarks, and ideas for future work are also addressed

Theory, praxis and puppet plays in Cervantes and Pirandello

Constantly throughout his literary career, the Italian writer Luigi Pirandello (1867- 1936) had always seen in Miguel de Cervantes Saavedra (1547-1616) a precursory inspiration of his own poetics. This paper delves into the complex nature of this literary influence, and particularly into the nature of the theoretical premonitions which Cervantes’ Don Quixote has pragmatically bequeathed to Pirandello’s oeuvre. After a brief glance at various testimonies on Cervantes enunciated by Pirandello himself during his lifetime, this study tackles the meaning of two emblematic passages in Pirandello’s long essay L’umorismo, in which he traces the development of his very own poetics by linking it to Cervantes’ comic element in Don Quixote. Finally, the paper shall embark on a textual and thematic analysis of two emblematic puppet play episodes portrayed in Don Quixote and in Pirandello’s novel The Late Mattia Pascal.peer-reviewe

Deep Active Learning for Dialogue Generation

We propose an online, end-to-end, neural generative conversational model for open-domain dialogue. It is trained using a unique combination of offline two-phase supervised learning and online human-in-the-loop active learning. While most existing research proposes offline supervision or hand-crafted reward functions for online reinforcement, we devise a novel interactive learning mechanism based on hamming-diverse beam search for response generation and one-character user-feedback at each step. Experiments show that our model inherently promotes the generation of semantically relevant and interesting responses, and can be used to train agents with customized personas, moods and conversational styles.Comment: Accepted at 6th Joint Conference on Lexical and Computational Semantics (*SEM) 2017 (Previously titled "Online Sequence-to-Sequence Active Learning for Open-Domain Dialogue Generation" on ArXiv

Advanced training systems

Training is a major endeavor in all modern societies. Common training methods include training manuals, formal classes, procedural computer programs, simulations, and on-the-job training. NASA's training approach has focussed primarily on on-the-job training in a simulation environment for both crew and ground based personnel. NASA must explore new approaches to training for the 1990's and beyond. Specific autonomous training systems are described which are based on artificial intelligence technology for use by NASA astronauts, flight controllers, and ground based support personnel that show an alternative to current training systems. In addition to these specific systems, the evolution of a general architecture for autonomous intelligent training systems that integrates many of the features of traditional training programs with artificial intelligence techniques is presented. These Intelligent Computer Aided Training (ICAT) systems would provide much of the same experience that could be gained from the best on-the-job training