Agencies for Perception in Environmental Monitoring
This paper presents the main results obtained in the APE project, funded by Italian Ministry of University and Research and aimed at studying the employment of advanced distributed artificial intelligence techniques in developing cooperative multiagent systems oriented to support environmental monitoring applications. In particular, we describe communication issues between perceptive agents and two implemented multiagent systems for monitoring electromagnetic fields and for pollutant evaluation
During the second joint French-Soviet space mission efficiency of compensating tracking was investigated in operator by velocity. It was shown that in spite of considerable changes in proprioceptive feedbacks, performance quality remained essentially as preflight. This evidences that visual feedback during operational activity is apt to offset losses in proprioceptive feedbacks.