On Ability to Autonomously Execute Agent Programs with Sensing

Most existing work in agent programming assumes an execution model where an agent has a knowledge base (KB) about the current state of the world, and makes decisions about what to do in terms of what is entailed or consistent with this KB. Planning then involves looking ahead and gauging what would be consistent or entailed at various stages by possible future KBs. We show that in the presence of sensing, such a model does not always work properly, and propose an alternative that does. We then discuss how this affects agent programming language design/semantics.

• Type: Conference
• Year: 2004
• Where: ATAL
• Authors: Sebastian Sardiña, Giuseppe De Giacomo, Yves Lespérance, Hector J. Levesque
• Keywords: Agent Programming, ATAL 2004, Most Existing Work, Possible Future Kbs