Drabble, Brian, Chaudron, Laurent, Tessier, Catherine, Abu-Hakima, Sue, Willmott, Steven, Austin, Jim, Faltings, Boi, Freuder, Eugene C., Friedrich, Gerhard, Freitas, Alex A., Cortes, U., Sanchez-Marre, M., Aha, David W., Becerra-Fernandez, Irma, Munoz-Avila, Hector, Ghose, Aditya, Menzies, Tim, Satoh, Ken, Califf, Mary Elaine, Cox, Michael, Sen, Sandip, Brezillon, Patrick, Pomerol, Jean-Charles, Turner, Roy, Turner, Elise
The AAAI-99 Workshop Program (a part of the sixteenth national conference on artificial intelligence) was held in Orlando, Florida. Each workshop was limited to approximately 25 to 50 participants. Participation was by invitation from the workshop organizers. The workshops were Agent-Based Systems in the Business Context, Agents' Conflicts, Artificial Intelligence for Distributed Information Networking, Artificial Intelligence for Electronic Commerce, Computation with Neural Systems Workshop, Configuration, Data Mining with Evolutionary Algorithms: Research Directions (Jointly sponsored by GECCO-99), Environmental Decision Support Systems and Artificial Intelligence, Exploring Synergies of Knowledge Management and Case-Based Reasoning, Intelligent Information Systems, Intelligent Software Engineering, Machine Learning for Information Extraction, Mixed-Initiative Intelligence, Negotiation: Settling Conflicts and Identifying Opportunities, Ontology Management, and Reasoning in Context for AI Applications.
The Association for the Advancement of Artificial Intelligence (AAAI) held its 1996 Fall Symposia Series on 9 to 11 November in Cambridge, Massachusetts. This article contains summaries of the seven symposia that were conducted: (1) Configuration; (2) Developing Assistive Technology for People with Disabilities; (3) Embodied Cognition and Action; (4) Flexible Computation: Results, Issues, and Opportunities; (5) Knowledge Representation Systems Based on Natural Language; (6) Learning Complex Behaviors in Adaptive Intelligent Systems; and (7) Plan Execution: Problems and Issues.
Nielsen, Paul | Faltings, Boi
Artificial Intelligence 51 (1991) 417-471, Spatial reasoning is ubiquitous in human problem solving. People routinely solve sophisticated problems involving space, such as designing buildings, navigation, assembling a car from parts, and packing suitcases. Human engineers design sophisticated mechanisms, many sports involve projectile motion, and everyone has some rough idea about whether a falling cup of coffee requires action on their part, based on a quick glance at its motion. Section 3 then illustrates the utility of the MD/PV model by describing CLOCK, a program which reasons about mechanisms, including mechanical clocks (cf.