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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Guerra-Hernandez, A. Ortiz-Hernandez, G. Luna-Ramirez, W.A. |
| Copyright Year | 2007 |
| Description | Author affiliation: Dept. de Intel. Artificial, Univ. Veracruzana, Xalapa (Guerra-Hernandez, A.; Ortiz-Hernandez, G.; Luna-Ramirez, W.A.) |
| Abstract | This work deals with the problem of intentional learning in a multi-agent system (MAS). Smile (sound multi-agent incremental learning), a collaborative learning protocol which shows interesting results in the distributed learning of well known complex boolean formulae, is adopted here by a MAS of BDI agents to update their practical reasons while keeping MAS-consistency. An incremental algorithm for first-order induction of logical decision trees enables the BDI agents to adopt Smile, reducing the amount of communicated learning examples when compared to our previous non-incremental approaches to intentional learning. The protocol is formalized extending the operational semantics of AgentSpeak(L), and implemented in Jason, its well known Java-based extended interpreter. |
| Starting Page | 61 |
| Ending Page | 70 |
| File Size | 507610 |
| Page Count | 10 |
| File Format | |
| ISBN | 9780769531243 |
| DOI | 10.1109/MICAI.2007.16 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-11-04 |
| Publisher Place | Mexico |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Java Protocols Multiagent systems BDI Learning systems Learning Feedback Collaboration Multi-Agent Systems Bismuth Collaborative work Decision trees Artificial intelligence |
| Content Type | Text |
| Resource Type | Article |
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