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Spatial Agents Implemented in a Logical Expressible Language


Frieder Stolzenburg, Oliver Obst, Jan Murray, and Björn Bremer. Spatial Agents Implemented in a Logical Expressible Language. In Manuela Veloso, Enrico Pagello, and Hiroaki Kitano, editors, RoboCup-99: Robot Soccer World Cup III, Lecture Notes in Artificial Intelligence, Springer, 2000.
Preliminary version appeared as Fachberichte Informatik 4/1999, Universität Koblenz-Landau.


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Abstract

In this paper, we present a multi-layered architecture for spatial and temporal agents. The focus is laid on the declarativity of the approach, which makes agent scripts expressive and well understandable. They can be realized as (constraint) logic programs. The logical description language is able to express actions or plans for one and more autonomous and cooperating agents for the RoboCup (Simulator League). The system architecture hosts constraint technology for qualitative spatial reasoning, but quantitative data is taken into account, too. The basic (hardware) layer processes the agent's sensor information. An interface transfers this low-level data into a logical representation. It provides facilities to access the preprocessed data and supplies several basic skills. The second layer performs (qualitative) spatial reasoning. On top of this, the third layer enables more complex skills such as passing, offside-detection etc. At last, the fourth layer establishes acting as a team both by emergent and explicit cooperation. Logic and deduction provide a clean means to specify and also to implement teamwork behavior.

BiBTeX Entry


@InCollection{	  SOM+00,
  adress	= {Berlin, Heidelberg, New York},
  author	= {Frieder Stolzenburg and Oliver Obst and Jan Murray and
		   Bj{\"o}rn Bremer},
  booktitle	= {RoboCup-99: Robot Soccer World Cup~III},
  editor	= {Manuela Veloso and Enrico Pagello and Hiroaki Kitano},
  place 	= {REGAL},
  publisher	= {Springer},
  series	= {Lecture Notes in Artificial Intelligence},
  title 	= {Spatial Agents Implemented in a Logical Expressible
		   Language},
  volume	= {1856},
  wwwnote	= {Pr
		   eliminary version appeared as Fachberichte Informatik 4/1999,
		   Universit{\"a}t Koblenz-Landau.},
  year		= {2000},
  abstract	= {In this paper, we present a multi-layered architecture
		   for spatial and temporal agents. The focus is laid on the declarativity of
		   the approach, which makes agent scripts expressive and well understandable.
		   They can be realized as (constraint) logic programs. The logical description
		   language is able to express actions or plans for one and more autonomous and
		   cooperating agents for the RoboCup (Simulator League). The system
		   architecture hosts constraint technology for qualitative spatial reasoning,
		   but quantitative data is taken into account, too. The basic (hardware) layer
		   processes the agent's sensor information. An interface transfers this
		   low-level data into a logical representation. It provides facilities to
		   access the preprocessed data and supplies several basic skills. The second
		   layer performs (qualitative) spatial reasoning. On top of this, the third
		   layer enables more complex skills such as passing, offside-detection etc. At
		   last, the fourth layer establishes acting as a team both by emergent and
		   explicit cooperation. Logic and deduction provide a clean means to specify
		   and also to implement teamwork behavior.},
}