Science and Technology Minister Wang Zhigang raised ethical concerns and said the country must ‘wait and see’ when it comes to developing generative AI products.

The Ninth International Conference on Machine Learning was held in Aberdeen, Scotland, from 1-3 July 1992, with 198 participants in attendance. The conference covered a broad range of topics drawn from the general area of machine learning, including concept-learning algorithms, clustering, speedup learning, formal analysis of learning systems, neural networks, genetic algorithms, and applications of machine learning. This article briefly touches on six selected talks that were of exceptional interest. Conference organizers were Derek Sleeman (conference chair) and Peter Edwards (local arrangements chair), both of the University of Aberdeen. Since the first machine-learning workshop was held at Carnegie-Mellon University (CMU) in July 1980, meetings have been held regularly, alternating between a more formal conference format and a more informal workshop format.

The IJCAI-09 Workshop on Learning Structural Knowledge from Observations (STRUCK-09) took place as part of the International Joint Conference on Artificial Intelligence (IJCAI-09) on July 12 in Pasadena, California. The workshop program included paper presentations, discussion sessions about those papers, group discussions about two selected topics, and a joint discussion. As a result, many cognitive architectures use structural models to represent relations between knowledge of different complexity. Structural modeling has led to a number of representation and reasoning formalisms including frames, schemas, abstractions, hierarchical task networks (HTNs), and goal graphs among others. These formalisms have in common the use of certain kinds of constructs (for example, objects, goals, skills, and tasks) that represent knowledge of varying degrees of complexity and that are connected through structural relations.

The 1994 AAAI Robot-Building Laboratory (RBL-94) was held during the Twelfth National Conference on Artificial Intelligence. The primary goal of RBL-94 was to provide those with little or no robotics experience the opportunity to acquire practical experience in a few days. Thirty persons, with backgrounds ranging from university professors to practitioners from industry, participated in the three-part lab. The event was meant to appeal to the hacker yearnings of participants to experience for themselves the joys and excitement of constructing a robot and to learn about the real problems of such an endeavor. RBL-94 was inspired by and shared a common history with a couple of robot-building laboratories.

This article is a summary of the Workshop on Explanation held during the 1988 National Conference on Artificial Intelligence in St. Paul, Minnesota. The purpose of the workshop was to identify key research issues in the rapidly emerging area of expert system explanation. Expert system explanation is the study of how to give an expert system the ability to provide an explanation of its actions and conclusions to a variety of users (including the domain expert, knowledge engineer, and end user). The 1988 AAAI Workshop on Explanation brought together many of the world's experts on expert system explanation in an attempt to highlight key research areas and questions that should be the focus of subsequent work. The one-day workshop was organized into five sessions of short presentations, each followed by panelled open discussion among the 35 workshop participants.

The Second International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS-03) was held in Melbourne, Australia, in July 2003. Attracting nearly 500 delegates, the event confirmed AAMAS as the academic main event for researchers with an interest in multiagent systems. We summarize the conference highlights and report on the associated workshops, tutorials, and emerging trends. Although a number of workshops had been held more or less regularly since 1980 (notably the U.S.-based Distributed Artificial Intelligence workshop series), until the mid-1990s, there was no dedicated archival venue for agentrelated work. By 2000, the situation had changed dramatically; by then, there were two major conferences, a major international workshop, and a dedicated journal, all publishing work in the agents area. Although all these venues were doing good business (there was no shortage of submitted papers), the overheads involved in organizing three major events--not to mention the ...

The delegates enjoyed not only the academic content but also the surplus of social events and expressed their congratulations on the program and organization. CSNLP-8 attracted a large number of delegates and papers from abroad, including many from Britain, Europe, the United States, and Asia. It was run just before "MIND-IV: Two Sciences of Mind," the Annual Conference of the Cognitive Science Society of Ireland (CSSI), at Dublin City University, Dublin, Ireland, 15-18 August. CSNLP-8 was advertised internationally to mail groups and on usenet as well as by placing information at the Information Technology Centre, NUI Galway, on the World Wide Web. Paul Mc Kevitt was program chair for CSNLP-8, with Conn Mulvihill and Micheal Colhoun as local organization chairs and Seán Ó Nualláin as the general chair for CSNLP.

The Third International Conference on Artificial Intelligence Planning Systems (AIPS-96) was held in Edinburgh, Scotland, from 29 to 31 May 1996. The main gathering of researchers in AI and planning and scheduling, the conference promoted the practical applications of planning technologies. Details of the conference papers and sessions are provided as well as information on the Defense Advanced Research Projects Agency-Rome Laboratory Planning Initiative. Previous conferences were held at the University of Maryland in June 1992 (AIPS-92), organized by Jim Hendler and Drew McDermott, and the University of Chicago in June 1994 (AIPS-94), organized by Kristian Hammond. The generation of plans and related fields, such as scheduling, resource allocation, and reasoning about action, have a long research tradition in AI.

The First National Aeronautics and Space Administration (NASA) Workshop on Monitoring and Diagnosis was held in Pasadena, California, from 15 to 17 January 1992. The workshop brought together individuals from NASA centers, academia, and aerospace who have a common interest in AIbased approaches to monitoring and diagnosis technology. The workshop was intended to promote familiarity, discussion, and collaboration among the research, development, and user communities. The First National Aeronautics and Space Administration (NASA) Workshop on Monitoring and Diagnosis was held in Pasadena, California, from 15 to 17 January 1992. The workshop was hosted by the Jet Propulsion Laboratory (JPL) and took place at the Ritz-Carlton Huntington Hotel.

In the short history of expert systems, a variety of approaches have been used to tackle the difficult problem of knowledge acquisition, among which are the following common types: consulting a library of models; using automatic induction from cases; and using triadic differentiation, which is repeated contrasting of two of the expected output of an expert system with a third. To be topical, all this knowledge-acquisition research has been done in the name of constructing expert systems in an easier, faster, and more maintainable manner because there is a growing consensus that expert systems are stuck on a productivity plateau in light of first-generation tools still being used without an effective knowledge-acquisition and knowledge-structuring front end. Contrary to many prevailing approaches to knowledge acquisition, Laps, our expert-interviewing software, begins by soliciting cases from the expert, but it does not end there. Its uniqueness lies in the fact that it interweaves knowledge gathering, organizing, and testing. Laps begins with a case in the form of a sample solution path elicited from the domain expert.