[mod.ai] Seminar - Real-Time Inferencing with Adaptive Logic Networks

eugene@AMES-NAS.ARPA (Eugene Miya) (06/30/86)

              National Aeronautics and Space Administration
                         Ames Research Center

                            AMES AI FORUM
                        SEMINAR ANNOUNCEMENT


SPEAKER:   Jacques J. Vidal
           University of California, Los Angeles

TOPIC:     REAL-TIME MULTISENSOR INFERENCING WITH ADAPTIVE LOGIC NETWORKS

     The talk will present a general architecture model for special-purpose
parallel processing networks that perform logical inferences in real-time. 
     Operation is divided beween two complementary modes:  Adaptation
(programming) and Processing.  The data processing mode is a hierarchical,
asynchronous and completely parallel dataflow.  Typically, logic operations
stored in a dynamically reconfigfurable combinatorial network, are performed
on sensor data.  In the adaptation mode the network incrementally receives
goal information (either from a human user or directly from environment
sensors), and the node functions and/or connections self-adapt in order for
the output(s) to continually satisfy the externally defined goal.  Adaptive
control is sequential, but performed in a distributed and largely concurrent
manner by the network nodes. 
     The target applications are event-detection, malfunction management and
similar robot functions, including vision. 


DATE: Thursday,     TIME: 1:00 - 2:00 pm     BLDG. 239   Room B39 
      July 10, 1986       --------------                (Basement Conf. Room)
 

POINT(S) OF CONTACT: Lee Duke   PHONE NUMBER: (805) 258-3802   
     NET ADDRESS: duke%ofe@ames-io.arpa  
  or Alison Andrews  (415) 694-6741   andrews%ear@ames-io.arpa
  (PLEASE NOTE ALISON'S EMAIL ADDRESS CHANGE!  ^ )


VISITORS ARE WELCOME: Register and obtain vehicle pass at Ames Visitor
Reception Building (N-253) or the Security Station near Gate 18.  Do not
use the Navy Main Gate. 
Non-citizens (except Permanent Residents) must have prior approval [...]