1. John Anderson. Tool-Level Support for Agent Breadth in Spatially-Explicit Simulation Models. In Proceedings of the Twelfth Annual Conference on Geographic Information Systems (GIS-98), Toronto, ON, April 1998.
   

   @inproceedings{gis98,
   author = {John Anderson},
   title = {Tool-Level Support for Agent Breadth in Spatially-Explicit Simulation Models},
   booktitle = {Proceedings of the Twelfth Annual Conference on Geographic Information Systems (GIS-98)},
   year = {1998},
   address = {Toronto, ON},
   month = {April} 
   }
   




2. Jacky Baltes. Planning Strategy Representation in DoLittle. In Advances in Artificial Intelligence, pages 30-44, 1998. Springer. Abstract:

   This paper introduces multi-strategy planning and describes its implementation in the \DoLittle\ system, which can combine many different planning strategies, including means-ends analysis, macro-based planning, abstraction-based planning (reduced and relaxed), and case-based planning on a single problem. \emph{Planning strategies} are defined as methods to reduce the search space by exploiting some assumptions (so-called \emph{planning biases}) about the problem domain. \emph{General operators} are generalizations of standard \Strips\ operators that conveniently represent many different planning strategies. The focus of this work is to develop a representation weak enough to represent a wide variety of different strategies, but still strong enough to emulate them. The search control method applies different general operators based on a strongest first principle; planning biases that are expected to lead to small search spaces are tried first. An empirical evaluation in three domains showed that multi-strategy planning performed significantly better than the best single strategy planners in these domains.

   
   

   @inproceedings{baltes98:_plann_strat_repres_dolit,
   author = {Jacky Baltes},
   title = {Planning Strategy Representation in DoLittle},
   booktitle = {Advances in Artificial Intelligence},
   pages = {30-44},
   year = 1998,
   publisher = {Springer},
   abstract = {This paper introduces multi-strategy planning and describes its implementation in the \DoLittle\ system, which can combine many different planning strategies, including means-ends analysis, macro-based planning, abstraction-based planning (reduced and relaxed), and case-based planning on a single problem. \emph{Planning strategies} are defined as methods to reduce the search space by exploiting some assumptions (so-called \emph{planning biases}) about the problem domain. \emph{General operators} are generalizations of standard \Strips\ operators that conveniently represent many different planning strategies. The focus of this work is to develop a representation weak enough to represent a wide variety of different strategies, but still strong enough to emulate them. The search control method applies different general operators based on a strongest first principle; planning biases that are expected to lead to small search spaces are tried first. An empirical evaluation in three domains showed that multi-strategy planning performed significantly better than the best single strategy planners in these domains.},
   pdf = {http://aalab.cs.umanitoba.ca/%7ejacky/Publications/pdf/baltes98:_plann_strat_repres_dolit.pdf} 
   }
   




3. Jacky Baltes. Practical Camera Calibration for Large Rooms. In Proceedings of the Image and Vision Conference, December 1998. [Slides] Abstract:

   This paper describes our practical experiences and methods for calibrating a large room. We show a semi-automatic system to assign real world coordinates to image features. Our system uses a two stage process in which easily recognizable objects (squares) are used to sort the individual data and to find missing objects. Fine object features (corners) are used in a second step to determine the image real world coordinates. An empirical evaluation of the system shows that the average and maximum errors are sufficiently small for our problem domain (autonomous mobile agents playing soccer)

   
   

   @inproceedings{baltes98:_pract_camer_calib_large_rooms,
   author = {Jacky Baltes},
   title = {Practical Camera Calibration for Large Rooms},
   booktitle = {Proceedings of the Image and Vision Conference},
   year = 1998,
   month = {December},
   abstract = {This paper describes our practical experiences and methods for calibrating a large room. We show a semi-automatic system to assign real world coordinates to image features. Our system uses a two stage process in which easily recognizable objects (squares) are used to sort the individual data and to find missing objects. Fine object features (corners) are used in a second step to determine the image real world coordinates. An empirical evaluation of the system shows that the average and maximum errors are sufficiently small for our problem domain (autonomous mobile agents playing soccer)},
   pdf = {http://aalab.cs.umanitoba.ca/%7ejacky/Publications/pdf/baltes98:_pract_camer_calib_large_rooms.pdf},
   slides = {http://aalab.cs.umanitoba.ca/%7ejacky/Publications/pdf/baltes98:_pract_camer_calib_large_rooms_slides.pdf} 
   }
   




4. Jacky Baltes, Nicholas Hildreth, and Yuming Lin. The All Botz RoboCup Team. In Proceedings of the PRICAI Workshop on RoboCup, Singapore, November 1998.
   

   @inproceedings{baltes-1998,
   author = {Jacky Baltes and Nicholas Hildreth and Yuming Lin},
   title = {The All Botz RoboCup Team},
   booktitle = {Proceedings of the PRICAI Workshop on RoboCup},
   year = 1998,
   address = {Singapore},
   month = {November},
   pdf = {http://aalab.cs.umanitoba.ca/%7ejacky/Publications/pdf/baltes-1998.pdf} 
   }
   




5. Ben Noonan, Jacky Baltes, and Bruce MacDonald.. PC Interface for a Remote Controlled Car. In Proceedings of the IPENZ sustainable city conference, Auckland, New Zealand, pages 22-27, February 1998. Abstract:

   This paper discusses the design of an interface for a PC and a commercially available remote-controlled car. The objective of the project is to provide the capability for a PC to emulate a conventional RC transmitter. The micro-controller-based design provides the best means of extendibility and flexibility where future requirements are yet to be defined, it also significantly reduces the processing requirements on the host PC and the client application. The data communications between the host PC and the interface is via a standard parallel port implementation that provides a platform independent communications medium. The firmware design is based on a single, restart-able task paradigm with interrupts for communications and other system functions. This is motivated by a need for quick execution of commands by the interface. An active braking application was used to evaluate advanced functionality, which produced encouraging results, and showed superior control compared with the original manual controller. A client application was written to test the functionality of the interface and data communications.

   
   

   @inproceedings{noonan98:_pc_inter_remot_contr_car,
   author = {Ben Noonan and Jacky Baltes and Bruce MacDonald.},
   title = {PC Interface for a Remote Controlled Car},
   booktitle = {Proceedings of the IPENZ sustainable city conference},
   pages = {22-27},
   year = 1998,
   address = {Auckland, New Zealand},
   month = {February},
   abstract = {This paper discusses the design of an interface for a PC and a commercially available remote-controlled car. The objective of the project is to provide the capability for a PC to emulate a conventional RC transmitter. The micro-controller-based design provides the best means of extendibility and flexibility where future requirements are yet to be defined, it also significantly reduces the processing requirements on the host PC and the client application. The data communications between the host PC and the interface is via a standard parallel port implementation that provides a platform independent communications medium. The firmware design is based on a single, restart-able task paradigm with interrupts for communications and other system functions. This is motivated by a need for quick execution of commands by the interface. An active braking application was used to evaluate advanced functionality, which produced encouraging results, and showed superior control compared with the original manual controller. A client application was written to test the functionality of the interface and data communications.},
   pdf = {http://aalab.cs.umanitoba.ca/%7ejacky/Publications/pdf/noonan98_pc_inter_remot_contr_car.pdf} 
   }
   




6. Sanj Wasalathantra, Bruce MacDonald, and Jacky Baltes. Mobile Robot Problem Solver. In Proceedings of the IPENZ Sustainable City Conference, Auckland, New Zealand, 1998.
   

   @inproceedings{wasalathantra98:_mobil_robot_probl_solver,
   author = {Sanj Wasalathantra and Bruce MacDonald and Jacky Baltes},
   title = {Mobile Robot Problem Solver},
   booktitle = {Proceedings of the IPENZ Sustainable City Conference},
   year = 1998,
   address = {Auckland, New Zealand} 
   }
   

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