Towards Modelling an Intelligent Calendar Agent with LUPS

We present an application prototype of dynamic knowledge representation programmed in LUPS (a language for updating logic programs). This is a case study to model intelligent agents in logic and we use a calendar example in order to explain their features, such as non-monotonic reasoning in scheduling appointments, making belief revision, and negotiating proposals. We argue that LUPS is an excellent language to model an intelligent calendar agent by means of a practical prototype. Several other challenges are suggested as well, so as to achieve a more powerful and useful multi agent system. KEY WORDS agent, calendar, lups, dynamic knowledge, non-monotonic reasoning

• Type: Conference
• Year: 2003
• Where: APPINF
• Authors: Juan Carlos Acosta Guadarrama, Mauricio Javier Osorio Galindo
• Keywords: APPINF 2003, Dynamic Knowledge, Dynamic Knowledge Representation, Information Technology, Non-monotonic Reasoning