00100				PREFACE
00200		Something  "artificial"  is  manmade.     Someone  "paranoid"
00300	believes  others  have  malevolent intentions towards him. Artificial
00400	paranoia  represents  an  attempt  to  computer  simulate  naturally-
00500	occurring  paranoia. Such an attempt is of interest to psychiatrists,
00600	psychologists, computer  scientists,  and  behavioral  scientists  in
00700	general.
00800		The  significance  of  this  simulation  model  lies  in  its
00900	appropriateness,  systemicity,  and  testability.  Psychiatrists deal
01000	with their  patients  at  the  symbolic  level  of  natural  language
01100	communication.      It  is  at  a  symbolic  level  of  analysis that
01200	explanations of symbolic behavior are the most appropriate and useful
01300	in  providing understanding. Since the model consists of an algorithm
01400	running on a computer, the consistency or systemicity requirement for
01500	a  conjunction of hypotheses is met.  Theoretical ideas formulated in
01600	natural language can be made more precise, explicit and testable when
01700	embodied  in  a  symbolic  model.   If relevant empirical tests yield
01800	disconfirmatory instances, the model is rejected and abandoned as  an
01900	unworkable   possibility.   If   the  tests  result  in  confirmatory
02000	instances, the model becomes worthworking with and improving  through
02100	extension  and  greater  explicitness.   The  simulation  model to be
02200	described represents a new conjunction of hypotheses. It is the first
02300	model  of  psychopathology  which  has  been  tested by comparing its
02400	linguistic behavior in a psychiatric interview  with  the  linguistic
02500	behavior of paranoid patients.
02600		A  computer  simulation  of  paranoid  processes involves the
02700	construction and testing of a complex symbolic model. To fathom  such
02800	a  model  and  its functions, it is first necessary to understand the
02900	perspectives of symbol processing and computer  simulation.  I  shall
03000	try  to  present  some  background information sufficient to orient a
03100	reader unfamiliar with these perspectives.
03200		I  am  indebted  to  co-workers  who  collaborated with me in
03300	constructing and testing the model. Sylvia Weber Russell, a  graduate
03400	student in Department of Computer Science, Stanford University, wrote
03500	the original  version  of  the  program.   Franklin  Dennis  Hilf,  a
03600	psychiatrist  and  research  associate  in the Department of Computer
03700	Science, Stanford  University,  was  primarily  responsible  for  the
03800	validation   studies.   Helena   Kraemer,   research   associate   in
03900	biostatistics,  Department  of   Psychiatry,   Stanford   University,
04000	assisted  in  the  design  of the experiments and in carrying out the
04100	statistical methods used.
04200		Also  I  am  grateful  to  Bruce  Anderson,  Bruce  Buchanan,
04300	Franklin  Dennis  Hilf, Roger C.  Parkison, Charles J. Rieger III and
04400	Yorick Wilks for their comments  on  the  entire  manuscript  and  to
04500	Margaret  A.   Boden,  Horace Enea and Abraham Kaplan for suggestions
04600	regarding  specific  chapters. Because I made them,   I   bear   full
04700	responsibility for the errors.
04800		This research was supported by Grant PHS MH 06645-12 from the
04900	National  Institute  of  Mental  Health  and  by  (in  part) Research
05000	Scientist Award (No.1-K05-K14,433) from  the  National  Institute  of
05100	Mental Health.