The International Conference on Case-Based Reasoning (ICCBR) has continuously been the preeminent international meeting on case-based reasoning (CBR). Through 2009, ICCBR had been a biennial conference, held in alternation with its sister conference, the European Conference on Case-Based Reasoning (ECCBR), which was located in Europe. At the 2009 ICCBR, the ICCBR Program Committee elected to extend an offer of consolidation with ECCBR. The offer was accepted by the ECCBR 2010 organizers and they considered it approved by the ECCBR community, as the two conferences shared a majority of Program Committee members. Therefore, starting in 2010, ICCBR and ECCBR are merged in a single conference series, called ICCBR.

Following a brief overview discussing why people prefer listening to expressive music instead of nonexpressive synthesized music, we examine a representative selection of well-known approaches to expressive computer music performance with an emphasis on AIrelated approaches. In the main part of the article we focus on the existing CBR approaches to the problem of synthesizing expressive music, and particularly on Tempo-Express, a case-based reasoning system developed at our Institute, for applying musically acceptable tempo transformations to monophonic audio recordings of musical performances. Finally we briefly describe an ongoing extension of our previous work consisting of complementing audio information with information about the gestures of the musician. Music is played through our bodies, therefore capturing the gesture of the performer is a fundamental aspect that has to be taken into account in future expressive music renderings. This article is based on the "2011 Robert S. Engelmore Memorial Lecture" given by the first author at AAAI/IAAI 2011.

This year ICCBR featured the Industry Day, the fifth annual Doctoral Consortium and three workshops.

The Twenty-Second International Conference on Case-Based Reasoning was held from September 29 to October 1, 2014. ICCBR is the annual meeting of the CBR community and the leading conference on this topic. Started in 1993 as the European Conference on CBR and 1995 as ICCBR, the two conferences alternated biennially until their merger in 2010. The main conference track featured 19 research paper presentations, 16 posters, and two invited speakers. The papers and posters reflected the state of the art of case-based reasoning, dealing both with open problems at the core of casebased reasoning (especially in similarity assessment, case adaptation, and case-based maintenance), as well as trending applications of CBR.

It was held on Sunday, 28 July 2002. The workshop papers are available as a technical report from AAAI Press. After a welcome and introductions, David Martin of SRI International started the day's presentations with an overview of the The objective of the language is to enable automated software agents to easily accomplish real-world planning tasks by discovering related services, selecting the most appropriate among them, composing them into effective plans, and invoking them to execute these plans and accomplish their tasks. The ServiceModel specification is aimed at supporting service invocation, composition, and monitoring and consists of a workflow model describing how the service is accomplished in terms of atomic and composite processes and their data and control dependencies. Finally, the ServiceGrounding specification specifies the implementation-specific details of service invocation, related to protocols, message formatting, and type serialization.

It first reviews the core issues in experiencebased design, for example, (1) the content of a design experience (or case), (2) the internal organization of design cases, (3) the language for indexing the cases, (4) the mechanism for retrieving a case relevant to a given design task, (5) the mechanism for adapting a retrieved design to satisfy the constraints of the design task, (6) the mechanism for evaluating a design against the specification of the design task, (7) the mechanism for redesigning a failed design, (8) the mechanism for acquiring new design knowledge, (9) the mechanism for chunking information about a design into a new case, and (10) the mechanism for storing a new case in memory for potential reuse in the future. It then proposes that decisions about these issues might lie in the designer's comprehension of the designs of artifacts he/she has encountered in the past, that is, in his/her mental models of how the designs achieve the functions and satisfy the constraints of the artifacts. To elaborate and evaluate this proposal, the dissertation analyzes the design of physical devices such as simple electric circuits, heat exchangers, and angular momentum controllers. It develops a theory of designers' comprehension of device designs in terms of functional models of how devices work. The functional model of a device provides a causal explanation of how the structure of the device produces its functions.

This special issue of AI Magazine brings seven articles presenting extended versions of papers from IAAI 2013. These articles were selected for their description of AI technologies that are either in practical use or close to it. Five of the articles describe deployed application case studies. These articles present fielded AI applications that distinguish themselves for their innovative use of AI technology. One article describes an emerging application.

AI can't solve these problems, it isn't AI have been vocal about this approach. Case-based reasoning provides both a methodology for building systems and a cognitive model of people. It is consistent with much that psychologists have observed in the natural problem solving people do. Psychologists have also observed, however, that people have several problems in doing analogical or case-based reasoning. Although they are good at using analogs to solve new problems, they are not always good at remembering the right ones.

Researchers and technology developers from the National Aeronautics and Space Administration (NASA), other government agencies, academia, and industry recently met in Pasadena, California, to take stock of past and current work and future challenges in the application of AI to highly autonomous systems. In our lifetime, through the eyes of simple robots, grand vistas on other worlds have been unveiled for the first time. Enigmatic questions compel us to go further, to touch these distant landscapes and learn the secrets of the solar system. However, in trying, we find our reach wanting, limited by the link to Earth on which our probes depend. We are learning that to explore further, these probes must go alone, and to go alone, they must become much more intelligent.

Originally founded in 1987 as a conference to promote and advance AI within the state of Florida, over the years, FLAIRS has attracted national and international participation--56 percent of this year's papers had international authors. After a period of eight years, the Fifteenth International Conference of the Florida Artificial Intelligence Research Society (FLAIRS 2002) returned to the emerald coast of Pensacola Beach, Florida. John Kolen (UWF-IHMC) was the conference general chair, and Susan Haller (University of Wisconsin at Parkside) and Gene Simmons (University of South Alabama) were the program cochairs. FLAIRS is a general conference for reporting AI research, and the 104 papers presented at FLAIRS-2002 covered a broad spectrum of research areas. The conference consisted of 3 parallel sessions of 21 tracks, including 14 special tracks highlighting specific themes.