AI planning is a broad research topic, linked with such issues as robotics, control theory, operations research and learning. The purpose of EWSP '93 was twofold. Planning under certainty, or classical search-based planning is one direction in the submitted papers, with approaches ranging from the introduction of conditional actions to methods based on statistics and decision theory.
AAAI proceedings describe innovative concepts, techniques, perspectives, and observations that present promising research directions in artificial intelligence.AI and Education. Automated Reasoning: automatic programming, planning and scheduling, rule-based reasoning, search, theorem proving, uncertainty, truth-maintenance systems, constraint-based systems. Cognitive Modeling. Commonsense Reasoning: qualitative reasoning, design, diagnosis, simulation. Impacts of AI Technology: organizational, economic, and social implications. Knowledge Acquisition and Expert System Design Methodologies: techniques for designing expert systems and acquiring domain knowledge. Knowledge Representation: knowledge-representation systems, inheritance, nonmonotonic logic, nonstandard logics, temporal reasoning. Machine Architectures and Computer Languages for AI. Machine Learning. Natural Language: generation and understanding; syntax, speech, dialogue. Perception and Signal Understanding: vision. Philosophical Foundations. Robotics. User Interfaces.
This book presents the Proceedings of the Tenth International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, focusing on the theoretical aspects of intelligent systems research as well as extensions of theory of intelligent thinking machines.
This volume contains revised and expanded versions of papers presented at the Seventh Annual Workshop on Conceptual Graphs, held at New Mexico State University in Las Cruces, and sponsored by the American Association for Artificial Intelligence and the NMSU Computer Science Department. The contents of the volume fall in the areas of representation issues, reasoning, data modeling and databases, algorithms and tools, and applications and natural language. One of the highlights reported in the volume is the landmark meeting of the first PEIRCE Project Workshop. The PEIRCE Project aims to build a state-of-the-art, industrial strength conceptual graphs workbench.
ments be thrown to the wind - in light of the fact that careful, precise, step-by-step deductive arguments will be presented below for each and every proposition that might be cavalierly regarded prima facie implausible. Key Theses So, to put it colloquially, I think we're headed toward real izing Blade Runner, a classic sci fi movie in which only an elaborate pupil-scanner (which detects the usual physiolog ical correlate to an emotional response to provocative ques tions) enables one to distinguish androids from humans. And Blade Runner turned real, it seems to me, will be the Age of The Philosopher. Qualia Scanner Pupils undilated! Why? Well, to start, this will be an era within which the so-called "problem of other minds" will be especially pointed, because the sort of question frequently posed by in structors in introductory philosophy courses, namely How do you know, really know, that the person next to you isn't just a robot, that underneath her "skull" hums a complicated silicon device instead of a flesh-and-blood human brain? WHAT ROBOTS CANANDCAN'TBE 4 will be a deadly serious one.
The challenges in ecosystem science encompass a broadening and strengthening of interdisciplinary ties, the transfer of knowledge of the ecosystem across scales, and the inclusion of anthropogenic impacts and human behavior into ecosystem, landscape, and regional models. The volume addresses these points within the context of studies in major ecosystem types viewed as the building blocks of central European landscapes. The research is evaluated to increase the understanding of the processes in order to unite ecosystem science with resource management. The comparison embraces coastal lowland forests, associated wetlands and lakes, agricultural land use, and montane and alpine forests. Techniques for upscaling focus on process modelling at stand and landscape scales and the use of remote sensing for landscape-level model parameterization and testing. The case studies demonstrate ways for ecosystem scientists, managers, and social scientists to cooperate.
In the areas of industry and engineering, AI techniques have become the norm in sectors including computer-aided design, intelligent manufacturing, and control. Papers in this volume represent work by both computer scientists and engineers separately and together. They directly and indirectly represent a real collaboration between computer science and engineering, covering a wide variety of fields related to intelligent systems technology ranging from neural networks, knowledge acquisition and representation, automated scheduling, machine learning, multimedia, genetic algorithms, fuzzy logic, robotics, automated reasoning, heuristic searching, automated problem solving, temporal, spatial and model-based reasoning, clustering, blackboard architectures, automated design, pattern recognition and image processing, automated planning, speech recognition, simulated annealing, and intelligent tutoring, as well as various computer applications of intelligent systems including financial analysis, artificial
