RI: Doctoral Student Consortium at the Twenty Fourth International Conference on Case-Based Reasoning

该项目将在2016年10月31日至11月2日在美国亚特兰大佐治亚理工学院举行的第24届基于案例推理国际会议(ICCBR‘16)上为博士生联盟提供支持。ICCBR是一个国际会议系列，涵盖基于案例推理的所有方面的研究，如记忆、问题解决、决策、学习、推荐系统、类比、创造力，以及在工业、商业和政府中的应用。案例推理的研究往往是跨学科的，涉及人工智能和智能代理、认知科学和认知计算、以人为中心的计算和交互系统、人类学习和机器学习。随着认知系统认知计算的复兴，如IBM的Watson系统和苹果？S Siri计划等，ICCBR社区再次增长。ICCBR会议试图促进本着人工智能的原始精神开展的研究，该精神旨在设计和实施计算机程序，一方面展示人类智能中经常观察到的广度、一般性和灵活性，另一方面利用人工智能系统的设计来洞察人类智能。我们期待ICCBR‘16将显著增加我们对基于案例的认知系统的理解，并为基于案例的认知计算的新理论、技术和工具的发展增添动力。会议和研讨会将通过促进高级和初级研究人员之间的互动和促进新的合作，帮助开发人力研究资本。博士联盟将增加年轻研究生研究人员在这些领域的曝光率和知名度，并通过在互动和建设性的环境中提供该领域的早期投入和反馈来培训他们。

This project will support of the Doctoral Student Consortium at the Twenty Fourth International Conference on Case-Based Reasoning (ICCBR'16) to be held at Georgia Institute of Technology in Atlanta, USA, from October 31st through November 2nd 2016. ICCBR is an international conference series covering all aspects of research on case-based reasoning, such as memory, problem solving, decision making, learning, recommender systems, analogy, creativity, and applications in industry, business and government. Research on case-based reasoning often is interdisciplinary, with connections to artificial intelligence and intelligent agents, cognitive science and cognitive computing, human-centered computing and interactive systems, and human learning as well as machine learning.With the resurgence of cognitive systems cognitive computing as evidenced by IBM's Watson system and Apple?s Siri program among many others, the ICCBR community is growing once again. The ICCBR conferences attempt to foster research carried out in the original spirit of AI, which aimed to design and implement computer programs that exhibited the breadth, generality, and flexibility often observed in human intelligence on one hand, and use the design of AI systems for insights into human intelligence on the other. We expect ICCBR'16 to significantly increase our understanding of case-based cognitive systems, and add momentum to the development of new theories, techniques and tools for case-based cognitive computing. The conference sessions and workshops will help develop human research capital by enabling interactions between senior and junior researchers and catalyzing new collaborations. The doctoral consortium will increase the exposure and visibility of young graduate student researchers in these areas, and train them by providing early input and feedback in the field in an interactive and constructive environment.