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reactive_planning [2010/05/16 23:11]
127.0.0.1 external edit |
reactive_planning [2010/10/15 09:14]
jakub_gemrot |
| <html><table border="0"> | <html><table border="0"> |
| <tr> | <tr> |
| <th style="font-weight:normal;">You will gain expertise in</font>:</th> | <td width="130" style="border-bottom: 1px solid lightgray;">Name:</td> |
| <th> </th> | <td> </td> |
| <th><font color="blue">Java/C++, reactive planning</font></th> | <td><font color="blue">Reactive planning</font></td> |
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| <th style="font-weight:normal;">Difficulty:</th> | <td width="130" style="border-bottom: 1px solid lightgray;">You will learn:</td> |
| <th> </th> | <td> </td> |
| <th><font color="blue">moderate</font></th> | <td><font color="blue">Java/C++, reactive planning</font></td> |
| </tr> | </tr> |
| <tr> | <tr> |
| <th style="font-weight:normal;">Excitement:</th> | <td style="border-bottom: 1px solid lightgray;">Difficulty:</td> |
| <th> </th> | <td> </td> |
| <th><font color="blue">Reactive planning paradigm is often used in Artificial Intelligence and is considered an industry standard for single AIs </font></th> | <td><font color="blue">moderate</font></td> |
| </tr> | </tr> |
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| <th style="font-weight:normal;">Description:</th> | <td style="border-bottom: 1px solid lightgray;">Excitement:</td> |
| <th> </th> | <td> </td> |
| <th><font color="default" style="font-weight:normal;"><p>The reactive planning paradigm is often used due to the timely fashion it operates in - the techniques employed range from Finite State Machines (FSMs) to Behavioral Trees and IF-THEN rules. Most models currently used are simplistic to avoid implementation and debugging issues. The basic model of Reactive Planning (RP) is the Hierarchical RP, where IF-THEN plans are organized into a tree-like hierarchy structure. </p> | <td><font color="blue">Reactive planning paradigm is often used in Artificial Intelligence and is considered an industry standard for single AIs </font></td> |
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| | <td style="border-bottom: 1px solid lightgray;">Description:</td> |
| | <td> </td> |
| | <td><font color="default"><p>The reactive planning paradigm is often used due to the timely fashion it operates in - the techniques employed range from Finite State Machines (FSMs) to Behavioral Trees and IF-THEN rules. Most models currently used are simplistic to avoid implementation and debugging issues. The basic model of Reactive Planning (RP) is the Hierarchical RP, where IF-THEN plans are organized into a tree-like hierarchy structure. </p> |
| <p>The goal of this thesis is to implement a newly introduced State Full HRP (SF-HRP) model. The resulting library should be easily incporatible into other projects</p> | <p>The goal of this thesis is to implement a newly introduced State Full HRP (SF-HRP) model. The resulting library should be easily incporatible into other projects</p> |
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| <th style="font-weight:normal;">Further Reading:</th> | <td style="border-bottom: 1px solid lightgray;">Further Reading:</td> |
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| <tr><th> </th><th> </th><th><font color="default" style="font-weight:normal;"> | <td><font color="default"> |
| </html>1. [[http://diana.ms.mff.cuni.cz/pogamut_files/doc/plch_thesis.pdf| Plch, T.: Action Selection for an Animat. Diploma thesis. MFF, UK, 2009]]<html> <br/> | </html>1. [[http://diana.ms.mff.cuni.cz/pogamut_files/doc/plch_thesis.pdf| Plch, T.: Action Selection for an Animat. Diploma thesis. MFF, UK, 2009]]<html> <br/> |
| </html> 2. [[http://www.gamasutra.com/gdc2005/features/20050311/isla_pfv.htm|Isla, D.: Handling complexity in Halo 2. In: Gamastura online, 03/11 (2005)]]<html><br/> | </html>2. [[http://www.gamasutra.com/gdc2005/features/20050311/isla_pfv.htm|Isla, D.: Handling complexity in Halo 2. In: Gamastura online, 03/11 (2005)]]<html><br/> |
| </html> 3. [[http://artemis.ms.mff.cuni.cz/main/papers/Ents-gardener-2005.pdf|Brom, C.: Hierarchical Reactive Planning: Where is its limit? In: Proceedings of MNAS workshop. Edinburgh, Scotland (2005)]]<html> <br/> | </html>3. [[http://artemis.ms.mff.cuni.cz/main/papers/Ents-gardener-2005.pdf|Brom, C.: Hierarchical Reactive Planning: Where is its limit? In: Proceedings of MNAS workshop. Edinburgh, Scotland (2005)]]<html> <br/> |
| </html> 4. [[ftp://publications.ai.mit.edu/ai-publications/2002/AITR-2002-003.pdf|Bryson, J.: Intelligence by Design: Principles of Modularity and Coordination for Engineering Complex Adaptive Agents. PhD thesis, Massachusetts Institute of Technology (2001)]]<html> <br/> | </html>4. [[ftp://publications.ai.mit.edu/ai-publications/2002/AITR-2002-003.pdf|Bryson, J.: Intelligence by Design: Principles of Modularity and Coordination for Engineering Complex Adaptive Agents. PhD thesis, Massachusetts Institute of Technology (2001)]]<html> <br/> |
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