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Journal articles on the topic 'Monitoring agent for Craigslist'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

Boeing, Geoff. "Online rental housing market representation and the digital reproduction of urban inequality." Environment and Planning A: Economy and Space 52, no. 2 (2019): 449–68. http://dx.doi.org/10.1177/0308518x19869678.

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As the rental housing market moves online, the internet offers divergent possible futures: either the promise of more-equal access to information for previously marginalized homeseekers, or a reproduction of longstanding information inequalities. Biases in online listings’ representativeness could impact different communities’ access to housing search information, reinforcing traditional information segregation patterns through a digital divide. They could also circumscribe housing practitioners’ and researchers’ ability to draw broad market insights from listings to understand rental supply a

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2

Westhorpe, R. N., and C. Ball. "Anaesthetic Agent Monitoring." Anaesthesia and Intensive Care 38, no. 6 (2010): 979. http://dx.doi.org/10.1177/0310057x1003800602.

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3

Pătruţ, Bogdan, and Cosmin Tomozei. "Agent Technology in Monitoring Systems." International Journal of Computers Communications & Control 5, no. 5 (2010): 852. http://dx.doi.org/10.15837/ijccc.2010.5.2246.

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The aim of this paper is to make a brief presentation of the results obtained by the authors regarding agent technology application in distributed monitoring systems development. Consequently, we would like to present MAgeLan and ContTest as monitoring systems based on intelligent agents technology. Formal aspects regarding intelligent agents will be mentioned. Quantitative issues concerning efficiency, maintenance and reengineering are also to be taken into account.

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4

Dumazel, R., and I. Humphreys. "Travel agent monitoring and management." Journal of Air Transport Management 5, no. 2 (1999): 63–72. http://dx.doi.org/10.1016/s0969-6997(98)00039-8.

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5

Wilkins, D. E., T. J. Lee, and P. Berry. "Interactive Execution Monitoring of Agent Teams." Journal of Artificial Intelligence Research 18 (March 1, 2003): 217–61. http://dx.doi.org/10.1613/jair.1112.

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There is an increasing need for automated support for humans monitoring the activity of distributed teams of cooperating agents, both human and machine. We characterize the domain-independent challenges posed by this problem, and describe how properties of domains influence the challenges and their solutions. We will concentrate on dynamic, data-rich domains where humans are ultimately responsible for team behavior. Thus, the automated aid should interactively support effective and timely decision making by the human. We present a domain-independent categorization of the types of alerts a plan

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6

Figueiredo, João, Nuno Lau, and Artur Pereira. "MULTI-AGENT DEBUGGING AND MONITORING FRAMEWORK." IFAC Proceedings Volumes 39, no. 20 (2006): 114–20. http://dx.doi.org/10.3182/20061002-2-br-4906.00020.

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7

Georgiadis, George, and Balazs Szentes. "Optimal Monitoring Design." Econometrica 88, no. 5 (2020): 2075–107. http://dx.doi.org/10.3982/ecta16475.

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This paper considers a Principal–Agent model with hidden action in which the Principal can monitor the Agent by acquiring independent signals conditional on effort at a constant marginal cost. The Principal aims to implement a target effort level at minimal cost. The main result of the paper is that the optimal information‐acquisition strategy is a two‐threshold policy and, consequently, the equilibrium contract specifies two possible wages for the Agent. This result provides a rationale for the frequently observed single‐bonus wage contracts.

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8

Ehsan Khojeh, Shahriar Mohseni, and Behrang Samadi. "Intelligent Agent, Personal Monitoring, Type-2 Fuzzy." Research Notes in Information Science 11 (January 31, 2013): 13–28. http://dx.doi.org/10.4156/rnis.vol11.issue0.2.

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9

Han, Jung-Soo. "Agent Based Cinder Monitoring System Supporting PDA." International Journal of Contents 3, no. 1 (2007): 24–28. http://dx.doi.org/10.5392/ijoc.2007.3.1.024.

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10

Han, Jung-Soo. "Agent Based Cinder Monitoring System supporting PDA." International Journal of Contents 4, no. 4 (2008): 7–11. http://dx.doi.org/10.5392/ijoc.2008.4.4.007.

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11

LI, Tao. "Agent-based power quality monitoring virtual device." Journal of Computer Applications 28, no. 1 (2008): 254–56. http://dx.doi.org/10.3724/sp.j.1087.2008.00254.

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12

Kaminka, G. A., and M. Tambe. "Robust Agent Teams via Socially-Attentive Monitoring." Journal of Artificial Intelligence Research 12 (March 1, 2000): 105–47. http://dx.doi.org/10.1613/jair.682.

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Agents in dynamic multi-agent environments must monitor their peers to execute individual and group plans. A key open question is how much monitoring of other agents' states is required to be effective: The Monitoring Selectivity Problem. We investigate this question in the context of detecting failures in teams of cooperating agents, via Socially-Attentive Monitoring, which focuses on monitoring for failures in the social relationships between the agents. We empirically and analytically explore a family of socially-attentive teamwork monitoring algorithms in two dynamic, complex, multi-agent

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13

Journal, Baghdad Science. "A Proposed Agent System for Network Monitoring." Baghdad Science Journal 11, no. 2 (2014): 284–91. http://dx.doi.org/10.21123/bsj.11.2.284-291.

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The traditional centralized network management approach presents severe efficiency and scalability limitations in large scale networks. The process of data collection and analysis typically involves huge transfers of management data to the manager which cause considerable network throughput and bottlenecks at the manager side. All these problems processed using the Agent technology as a solution to distribute the management functionality over the network elements. The proposed system consists of the server agent that is working together with clients agents to monitor the logging (off, on) of t

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14

Taylor, O. E., and O. M. Ata-ebirieng. "A Hybrid Agent-Based Network Monitoring Tool." Advances in Multidisciplinary & Scientific Research Journal Publication 6, no. 4 (2018): 49–56. http://dx.doi.org/10.22624/aims/digital/v6n4p4.

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15

Xu, Dongming, and Huaiqing Wang. "Multi-agent collaboration for B2B workflow monitoring." Knowledge-Based Systems 15, no. 8 (2002): 485–91. http://dx.doi.org/10.1016/s0950-7051(02)00033-3.

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16

HOFFMAN, M., and Y. DARGAUD. "Mechanisms and monitoring of bypassing agent therapy." Journal of Thrombosis and Haemostasis 10, no. 8 (2012): 1478–85. http://dx.doi.org/10.1111/j.1538-7836.2012.04793.x.

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17

Hanif, Ahad, Aslam Muhammad, Ana María Martinez-Enriquez, and Adrees Muhammad. "Intelligent Agent based System for Crop Monitoring." Research in Computing Science 148, no. 11 (2019): 165–73. http://dx.doi.org/10.13053/rcs-148-11-13.

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18

Athanasiadis, Ioannis N., and Pericles A. Mitkas. "An agent‐based intelligent environmental monitoring system." Management of Environmental Quality: An International Journal 15, no. 3 (2004): 238–49. http://dx.doi.org/10.1108/14777830410531216.

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19

Alberola, Juan M., Luis Búrdalo, Vicente Julián, Andrés Terrasa, and Ana García-Fornes. "An adaptive framework for monitoring agent organizations." Information Systems Frontiers 16, no. 2 (2013): 239–56. http://dx.doi.org/10.1007/s10796-013-9478-x.

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20

Song, Cheng, Lu Liu, Gang Feng, and Shengyuan Xu. "Optimal control for multi-agent persistent monitoring." Automatica 50, no. 6 (2014): 1663–68. http://dx.doi.org/10.1016/j.automatica.2014.04.011.

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21

Criado, Natalia. "Resource-bounded Norm Monitoring In Multi-agent Systems." Journal of Artificial Intelligence Research 62 (May 30, 2018): 153–92. http://dx.doi.org/10.1613/jair.1.11206.

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   Norms allow system designers to specify the desired behaviour of a sociotechnical system. In this way, norms regulate what the social and technical agents in a sociotechnical system should (not) do. In this context, a vitally important question is the development of mechanisms for monitoring whether these agents comply with norms. Proposals on norm monitoring often assume that monitoring has no costs and/or that monitors have unlimited resources to observe the environment and the actions performed by agents. In this paper, we challenge this assumption and propose the first

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22

Azwin Hazrina Ahmad, Ahmad Kamil Mahmood, and Jafreezal Jaafar. "Agent-Based Rescuer Monitoring System using Fuzzy Logic." International Journal of Advancements in Computing Technology 5, no. 5 (2013): 982–91. http://dx.doi.org/10.4156/ijact.vol5.issue5.117.

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23

Fratu, Octavian, Maria Madalina Andronache, Ana-Maria C. Dragulinescu, Carmen Voicu, and Alexandru Vulpe. "Cooperation scenarios in multi-agent water monitoring platform." Periodicals of Engineering and Natural Sciences (PEN) 7, no. 1 (2019): 261. http://dx.doi.org/10.21533/pen.v7i1.393.

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24

WEN Junhao, ZHAO Li, and HE Pan. "Dynamic Agent Based Monitoring Mechanism for Web Services." Journal of Convergence Information Technology 6, no. 10 (2011): 211–18. http://dx.doi.org/10.4156/jcit.vol6.issue10.27.

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25

Strausz, Roland. "Delegation of Monitoring in a Principal-Agent Relationship." Review of Economic Studies 64, no. 3 (1997): 337. http://dx.doi.org/10.2307/2971717.

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26

Gutnik, Gery. "Monitoring Large‐Scale Multi‐Agent Systems using Overhearing." Knowledge Engineering Review 24, no. 4 (2009): 409–10. http://dx.doi.org/10.1017/s0269888909990233.

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27

Rafique, Muhammad B. "Scented vapours and endtidal inhalation agent monitoring system." Pediatric Anesthesia 13, no. 7 (2003): 647–48. http://dx.doi.org/10.1046/j.1460-9592.2003.01109.x.

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28

N., Balti, Aseere A. M., and Turki-Hadj Alouane M. "MONITORING AGENT SYSTEM BASED ON HUMAN GAIT CLASSIFICATION." Indian Journal of Computer Science and Engineering 11, no. 5 (2020): 438–45. http://dx.doi.org/10.21817/indjcse/2020/v11i5/201105061.

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29

Lanzola, Giordano, Stefania Scarpellini, Federico Di Palma, et al. "Monitoring Artificial Pancreas Trials Through Agent-based Technologies." Journal of Diabetes Science and Technology 8, no. 2 (2014): 216–24. http://dx.doi.org/10.1177/1932296814522120.

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30

Seligman, D. R. "How Not to Build a Performance Monitoring Agent." IEEE Communications Magazine 45, no. 4 (2007): 138–42. http://dx.doi.org/10.1109/mcom.2007.343623.

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31

Chan, V., P. Ray, and N. Parameswaran. "Mobile e-Health monitoring: an agent-based approach." IET Communications 2, no. 2 (2008): 223. http://dx.doi.org/10.1049/iet-com:20060646.

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32

Liotta, A., G. Pavlou, and G. Knight. "Exploiting agent mobility for large-scale network monitoring." IEEE Network 16, no. 3 (2002): 7–15. http://dx.doi.org/10.1109/mnet.2002.1002994.

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33

Lad, Amitkumar, and Y. K. Agrawal. "Nanodevices for Monitoring Toxicological Behavior of Therapeutic Agent." Reviews in Nanoscience and Nanotechnology 1, no. 3 (2012): 217–27. http://dx.doi.org/10.1166/rnn.2012.1016.

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34

Kafalı, Özgür, and Pınar Yolum. "PISAGOR: a proactive software agent for monitoring interactions." Knowledge and Information Systems 47, no. 1 (2015): 215–39. http://dx.doi.org/10.1007/s10115-015-0848-1.

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35

Khalil, Fahad, David Martimort, and Bruno Parigi. "Monitoring a common agent: Implications for financial contracting." Journal of Economic Theory 135, no. 1 (2007): 35–67. http://dx.doi.org/10.1016/j.jet.2005.08.010.

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36

Barata, Manuel M., and A. Steiger-Garção. "Transputer-based multi-agent monitoring system in NC." Robotics and Computer-Integrated Manufacturing 11, no. 4 (1994): 319–25. http://dx.doi.org/10.1016/0736-5845(95)00009-7.

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37

Gao, Fei, Xiong Hu Zhao, Hong Shan Liu, Zhi Kun Liu, and Jun Zheng Yang. "The Study of Drilling Safe Monitoring System Based on Multi Agent Group." Advanced Materials Research 512-515 (May 2012): 2565–69. http://dx.doi.org/10.4028/www.scientific.net/amr.512-515.2565.

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Lots of complexity and uncertainties are existed in drilling process. Further more, one of the possible ways to solve on-site drilling safety accidents is the early-warning through real-time monitoring. Based on the analysis of main hazards during drilling process, considering that most of the hazards are observable and controllable, by using multi agent group (MAG) technology of distributed artificial intelligence (DAI), this paper puts forward a functional schematic model with drilling hazards monitoring multi agent group, which includes real-time monitoring agent, feature extraction agent w

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38

Tie, Zhixin. "A Mobile Agent-Based System for Server Resource Monitoring." Cybernetics and Information Technologies 13, no. 4 (2013): 104–17. http://dx.doi.org/10.2478/cait-2013-0057.

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Abstract Mobile agent technology has become an important approach for the design and development of distributed systems. Currently, there is little research regarding the efficiency of mobile agent-based monitoring of the server resource. Based on the Mobile-C library, a mobile agent-based system called Mobile Agent- Based Server Resource Monitoring System (MABSRMS) is presented. In MABSRMS mobile agents can call low level functions in binary dynamic or static libraries, and thus can monitor server resource conveniently and efficiently. The experiment was conducted in a university computer cen

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39

AMANT, ROBERT ST, PAUL R. COHEN, and YOSHITAKA KUWATA. "MONITORING PROGRESS WITH DYNAMIC PROGRAMMING ENVELOPES." International Journal on Artificial Intelligence Tools 05, no. 01n02 (1996): 143–53. http://dx.doi.org/10.1142/s0218213096000109.

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Envelopes are a form of decision rule for monitoring plan execution. We describe one type, the DP envelope, that draws its decisions from a look-up table computed off-line by dynamic programming. Based on an abstract model of agent progress, DP envelopes let a developer approach execution monitoring as a problem independent of issues in agent design. We discuss the application of DP envelopes to a small transportation planning simulation, and discuss the issues that arise in an empirical analysis of the results.

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40

TAKADAMA, Keiki, and Yuusuke TAJIMA. "Sleep Monitoring Agent for Care Support and its Perspective." IEICE ESS Fundamentals Review 8, no. 2 (2014): 96–101. http://dx.doi.org/10.1587/essfr.8.96.

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41

Sun, Hongbing, Shenfang Yuan, Xia Zhao, Hengbao Zhou, and Dong Lianq. "Technology of structure damage monitoring based on multi-agent." Journal of Systems Engineering and Electronics 21, no. 4 (2010): 616–22. http://dx.doi.org/10.3969/j.issn.1004-4132.2010.04.014.

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42

EZE, ARU OKEREKE, AMEGASHIE RICHARD J., and UGOJI FRANK -GODRIC C. "AN INTELLIGENT AGENT FOR MONITORING AND DETECTING COUNTERFEIT PRODUCTS." International Journal of Advances in Scientific Research and Engineering 5, no. 7 (2019): 120–28. http://dx.doi.org/10.31695/ijasre.2019.33421.

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43

Chadha, Divya, and Reena Dahiya. "Multi agent based Framework for Traffic monitoring in VANET." International Journal of Computer Applications Technology and Research 5, no. 5 (2016): 281–91. http://dx.doi.org/10.7753/ijcatr0505.1009.

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44

Qu, Zhi Jian, Liang Guo, Hong Ping Ling, Ge Chen, and Li Liu. "Multi-Agent Information Interaction Research for Distribution Dispatch Monitoring." Advanced Materials Research 791-793 (September 2013): 962–66. http://dx.doi.org/10.4028/www.scientific.net/amr.791-793.962.

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In allusion to the transmission difficult difficulties problem of massive monitoring information flow, due to numerous on-line processing points and quick variation of operating parameters in distribution network monitoring dispatching, an new asynchronous processing method for batch information based on multi-agent alliance technology is proposed. Multi-agent alliance Platform is constructed by means of designing JACK software. Then using CIM-mapping technology and news event asynchronous trigger technology, massive data interactive real-time processing is implemented. Taking the monitoring s

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45

Lv, Peng Liang, and Guo Shun Chen. "Distributed Remote Monitoring System Key Technology Research on Agent." Advanced Materials Research 860-863 (December 2013): 2774–82. http://dx.doi.org/10.4028/www.scientific.net/amr.860-863.2774.

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Recent years, as computer science and the development of high-tech communications networks, distributed artificial intelligence field of artificial intelligence research as an important branch, more and more industry attention. One of the Agent and Multi-Agent technology research became a hot topic of distributed artificial intelligence research. Research on Multi-Agent technology is mainly a group of autonomous distributed open Agent in a dynamic environment, through interaction, cooperation, competition, negotiation and other acts perform complex control or task solving. Because of its bette

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46

Kesarkar, Yash. "Traffic Analysis, Monitoring and Control using Agent Technologies (Simulation)." International Journal for Research in Applied Science and Engineering Technology 6, no. 3 (2018): 2729–32. http://dx.doi.org/10.22214/ijraset.2018.3605.

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47

Hammami, S., E. Moalla, and I. Tnazefti-Kerkeni. "Control/Monitoring System of APS Using Multi–Agent Techniques." IFAC Proceedings Volumes 33, no. 17 (2000): 771–76. http://dx.doi.org/10.1016/s1474-6670(17)39500-9.

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48

Ahmad, Azwin Hazrina, Ahmad Kamil Mahmood, and Jafreezal Jaafar. "The Architecture of Fuzzy Agent in Rescuer Monitoring System." American Journal of Engineering and Applied Sciences 8, no. 3 (2015): 345–53. http://dx.doi.org/10.3844/ajeassp.2015.345.353.

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49

Meera, A., and S. Swamynathan. "Agent based Resource Monitoring System in IaaS Cloud Environment." Procedia Technology 10 (2013): 200–207. http://dx.doi.org/10.1016/j.protcy.2013.12.353.

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50

Wang, Minhong, Huaiqing Wang, and Dongming Xu. "The design of intelligent workflow monitoring with agent technology." Knowledge-Based Systems 18, no. 6 (2005): 257–66. http://dx.doi.org/10.1016/j.knosys.2004.04.012.

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