There are many technical problems that exist in communities other than our own. These problems both deserve our attention and require focused research. We present one example: the TEK Search Engine. TEK is an email-based search engine designed to deliver low-bandwidth information to low-connectivity communities.

Based on an ongoing attempt to integrate Natural Language instructions with human figure animation, we demonstrate that agents' understanding and use of instructions can complement what they can derive from the environment in which they act. We focus on two attitudes that contribute to agents' behavior—their intentions and their expectations—and shown how Natural Language instructions contribute to such attitudes in ways that complement the environment. We also show that instructions can require more than one context of interpretation and thus that agents' understanding of instructions can evolve as their activity progresses. A significant consequence is that Natural Language understanding in the context of behavior cannot simply be treated as “front end” processing, but rather must be integrated more deeply into the processes that guide an agent's behavior and respond to its perceptions.