@TechReport{muller93a,
  author =	 {J\"{o}rg P. M\"{u}ller and Markus Pischel},
  title =	 {The agent architecture inte{RR}a{P}: Concept and
                  application},
  institution =	 {German Research Center for Artificial Intelligence},
  year =	 1993,
  note =	 {RR 93-26},
  abstract =	 {One of the basic questions of research in
                  Distributed Articial Intelligence DAI is how agents
                  have to be structured and organized and what
                  functionalities they need in order to be able to act
                  and to interact in a dynamic environment To cope
                  with this question is the purpose of models and
                  architectures for autonomous and intelligent agents
                  In the rst part of this report InteRRaP an agent
                  architecture for multiagent systems is presented The
                  basic idea is to combine the use of patterns of
                  behaviour with planning facilities in order to be
                  able to exploit the advantages both of the reactive
                  behaviourbased and of the deliberate planbased
                  paradigm Patterns of behaviour allow an agent to
                  react exibly to changes in its environment What is
                  considered necessary for the performance of more
                  sophisticated tasks is the ability of devising plans
                  deliberately A further important feature of the
                  model is that it explicitly represents knowledge and
                  strategies for coopera tion This makes the model
                  suitable for describing highlevel interaction among
                  autonomous agents In the second part the loadingdock
                  domain is presented which has been the rst
                  application the InteRRaP agent model has been tested
                  with An automated loadingdock is described where the
                  agent society consists of forklifts which have to
                  load and unload trucks in a shared environment},
  keywords = 	 {multiagent application planning},
  googleid = 	 {Qzo3YrPGp0oJ:scholar.google.com/},
  cluster = 	 {5379486753666579011},
  url = 	 {http://jmvidal.cse.sc.edu/library/muller93a.pdf}
}