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Table 3 summarizes the communication language defined for the autonomous agents.

in A Purposive Computer Vision System: a Multi-Agent Approach
by Reinaldo A. C. Bianchi, Anna H. R. C. Rillo 1997
"... In PAGE 4: ... Table3 - Elements of the communication language of the autonomous agents. 3.... ..."
Cited by 4

Table 2. MA Agent Distribution Personal Agents Task Agents Communication Agents

in NASA’s Mobile Agents Architecture: A MultiAgent Workflow and Communication System for Planetary Exploration
by Maarten Sierhuis, William J. Clancey, Richard L. Alena, Dan Berrios, Simon Buckingham, John Dowding, Jeff Graham, Ron Van Hoof, Charis Kaskiris, Shannon Rupert, Kim S. Tyree 2005
"... In PAGE 6: ... Table 1. MA Agent Functions Agent Type Suported Functions Personal Agent Track Location; Monitor Biosensors; System Alerting and Notification; Take Picture; Monitor Bateries; Take Panorama; Take Digital Voice Notes; Create Saple Bag; Curate Sample Bag; Name Image; FTP Image and Voice Note; Create New Location; Asociate Image, Voice ote, Location, Plan Activity, EVA Plan; EVA Plan Distribution; Start E Plan Activity; Read EVA Plan; Monitor EV Plan; Command Robot to ove, Follow, Take Picture, Take Panorama; E-mail Notification; Task Agent Images Download; GPS Tracking; Biosensor Monitoring; Science Dat Management; Autonomous ERA Plan Execution; Communication Agent Dialog System Communication; ScienceOrganizer Comunication; Compendium Communication; Camera Communication; Sensor Dat Comunication (GPS + Biosensor); ERA Robot Communication; Table2 provides the main agents running in each Brahms VM shown in Figure 12. Table 2.... ..."
Cited by 2

Table 2.1: Categorization of autonomous agents.

in Concepts and Autonomous Agents
by Paul Davidsson

Table 3: Communication and synchronisation cost for data distributions with p = 100

in Scientific computing on bulk synchronous parallel architectures
by R. H. Bisseling, W. F. Mccoll Y 1994
"... In PAGE 21: ... It does not perform very well on small problems and even for larger problems there are superior distributions, such as the diagonal quot; distribution, which imposes an equal division of the matrix diagonal over the processors and hence causes a good load balance in the summation of partial sums. The results of Table3 show that it is quite hard to achieve a low communication cost for general sparse matrices, i.e.... ..."
Cited by 81

Table 3: Communication and synchronisation cost for data distributions with p = 100

in Scientific Computing on Bulk Synchronous Parallel Architectures
by R. H. Bisseling, W. F. Mccoll
"... In PAGE 21: ... It does not perform very well on small problems and even for larger problems there are superior distributions, such as the diagonal quot; distribution, which imposes an equal division of the matrix diagonal over the processors and hence causes a good load balance in the summation of partial sums. The results of Table3 show that it is quite hard to achieve a low communication cost for general sparse matrices, i.e.... ..."

Table 1: Agents in Historical Perspective

in The RAPPID Project: Symbiosis between Industrial Requirements and MAS Research
by H. V. D. Parunak, A. Ward, M. Fleischer, J. Sauter
"... In PAGE 4: ....1.1 Autonomous Agents Different practitioners use the term agents in many different ways. We have found it most helpful in communicating with industrial users to view agents as an incremental extension of previous software technologies, as suggested in Table1 . In the beginning was the Program, a monolithic deck of machine instructions and data tied together with tangled goto statements that took over the complete resources of the computer when the user fed it into the card reader.... ..."

Table 3. Roles and associated agent classes Role Agent Class

in A JOINT TASK FORCE COMMANDER
by Old Dominion University, Mikel D. Petty (director, R. Bowen Loftin (member, Frederic D. Mckenzie (member, Gary E. Luck (member, Joseph Psotka (member, John Anthony Sokolowski, John Anthony Sokolowski, Director Dr, Mikel D. Petty 2003
"... In PAGE 65: ... Agent classes were deflned based on the identifled roles with one agent class representing each specifled role. Table3 shows the relationship of the identifled roles to the agent classes. Since an agent is an autonomous entity, it must have a means of communicating... In PAGE 105: ... The fourth column lists the percentage correct out of twenty sets. To analyze the Turing test results of Table3 2, one can compare the number of correct assessments to the expected number of successes by purely guessing the results. The expected number of successes (S)17 from purely guessing can be represented by a Bernoulli calculation [97].... ..."

Table 1. Experiments with communication agents.

in Multi-agent Physical A * with Large Pheromones
by Ariel Felner, Yaron Shoshani, Yaniv Altshuler, Alfred M. Bruckstein

Table 12.1: Low-level Communication Data Types, Combined, Synchronisation and Data Transfer

in TTL Interfaces for Multiprocessor Platforms
by Yanning Luo, Yanning Luo

Table 1: Technologies comparison for communication with an agent.

in M.: Tracker: A Universal Location Management System for Mobile Agents
by George Samaras, Constantinos Spyrou, Evaggelia Pitoura, Marios Dikaiakos 2002
"... In PAGE 4: ...3.1 Comparisons and Discussion Table1 presents an overview of the four agent ... ..."
Cited by 7
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