@incollection{fdi:010087323,
  title = {{A}n artificial maieutic approach for eliciting experts' knowledge in multi-agent simulations},
  author = {{S}empe, {F}. and {N}guyen-{D}uc, {M}. and {B}oissau, {S}. and {B}oucher, {A}. and {D}rogoul, {A}lexis},
  editor = {},
  language = {{ENG}},
  abstract = {{M}odels of human behaviours used in multi-agent simulations are limited by the ability of introspection of the social actors: some of their knowledge (reflexes, habits, non-formalized expertise) cannot be extracted through interviews. {T}he use of computer-mediated role playing games put these actors into a situated stance where the recording of their "live" behaviours is possible. {B}ut cognitive processes and motivations still have to be interpreted. {I}n this paper, we propose an artificial maieutic approach to extract such pieces of knowledge, by helping the actors to better understand, and sometimes formulate, their own behaviours. {T}he actors are playing their own roles in an agent-mediated simulation and interact with agents that question their behaviours. {T}he actor's reactions and understanding are stimulated by these interactions, and this situation allows in many cases to reveal hidden knowledge. {W}e present here the first results using two complementary works in social simulations, one in the domain of air traffic control and one in the domain of common-pool resources sharing},
  keywords = {},
  booktitle = {{M}ulti-{A}gent-{B}ased {S}imulation {VI} : international workshop, {MABS} 2005 : {U}trecht, {T}he {N}etherlands, {J}uly 25, 2005 : revised and invited papers},
  numero = {3891},
  pages = {75--87},
  address = {{B}erlin ({DEU}) ; {H}eidelberg},
  publisher = {{S}pringer},
  series = {{L}ecture {N}otes in {A}rtificial {I}ntelligence. {L}ecture {N}otes in {C}omputer {S}cience},
  year = {2006},
  DOI = {10.1007/11734680_6},
  ISBN = {978-3-540-33380-7},
  URL = {https://www.documentation.ird.fr/hor/fdi:010087323},
}