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Agent Funding Opportunities

NSF has announced an opportunity for interdisciplinary research in Learning and Intelligent Systems (LIS). Six NSF Directorates will coordinate and manage the initiative through a special Committee with an appointed Coordinator. The LIS initiative seeks to stimulate interdisciplinary research that will unify experimentally and theoretically derived concepts related to learning and intelligent systems, and that will promote the use and development of information technologies in learning across a wide variety of fields. The long-range goal ia broad and has the potential to make significant contributions toward innovative applications. The initiative focuses on fundamental scientific and technological research undertaken in the rigorous and disciplined manner characteristic of NSF supported endeavors. The initiative ultimately should have a major impact on enhancing and supporting human intellectual and creative potential. Consequently, development of new scientific knowledge on learning and intelligent systems and its creative application to education and to learning technologies are an integral part of this solicitation. 12/9/96

NSF program in Learning and Intelligent Systems

DARPA BAA 97-09

DARPA has issued BAA 97-09 -- Collaboration, Visualization, and Information Management (CVIM). Brief proposal abstracts are due by by 12/23/96. The research is to enhance team collaboration through shared information spaces or to advance networked systems for multimedia and multimodal information. One thrust, Intelligent Collaboration and Visualization, is to develop "generation-after-next" collaboration middleware and tools to gather problem solvers across time and space, marshal task-oriented information resources, and enhance collaboration. It includes tools for sharing meaning (metadata for self-describing resources; managing personal and shared information; mapping semantics across domains and languages; indexing and reviewing collaborative sessions; capture of process rules and constraints; and real-time discovery of relevant collaborators and information) and tools for sharing views (e.g., differing map overlays; animation and visualization; and multimedia annotations). Another thrust, Information Management, covers "scalable, interoperable middleware" for managing exponentially growing networked information resources, identifying task-relevant materials, and organizing information for exploitation. It includes analysis environments (acquisition and correlation of multimedia and complex information resources across disciplines and languages, exploiting semantic content, visualization, filtering, search, and retrieval) and scalable, secure, interoperable Information Repositories (registration & security of information resources, access controls, and rights management; automatic classification and federation; distributed service assurance; and exploitation of high bandwidth). 11/19/96

DARPA Advanced Simulation program

 DARPA's Advanced Simulation Technology Thrust program is focused on modeling synthetic military forces in simulated environments. Relevant AI/agent technologies including multi-agent collaborative decision making, collaboration/communication between humans and agents, action selection and planning, behavioral "realism" (model effects of stress and other factors on performance), adaptation and learning, etc. Proposals are due approximately 30 days from the CBD announcement on 9/23/96. 10/15/96

DARPA HPKB program

The DARPA High Performance Knowledge Bases (HPKB) program is aimed at producing the technology needed to enable system developers to rapidly construct very large knowledge-bases that provide comprehensive coverage of topics of interest, are reusable by multiple applications with diverse problem-solving strategies, and are maintainable in rapidly changing environments. It is envisioned that the process for constructing these large, comprehensive, reusable, and maintainable knowledge bases would involve three major steps: building foundation knowledge; acquiring domain knowledge; and efficient problem solving. (BAA 96-43. CBD Reference: October 3, 1996. Close Date: December 2, 1996). 10/15/96
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