Abstract
This paper aims to develop a generic and complete computation model toward scheduling, resource allocation, and action model of agents and to design the relevant simulated intelligent agent framework for agent applications. We propose a computation model and development tools to deal with dynamic data, translation of data models, qualitative information, time quantity, uncertainty, functionality, and semantic analysis. We also develop the relevant grammar and algebra system to locate resources and maintain constrains. The system allow user to define percepts and actions of agents. Script language with percept lists are integrated with scheduling and resource allocations. Several computation algorithms and operation tables which include a set of complete temporal logics are proposed. The combined temporal data models are generalized by composing point and interval algebra with qualitative and quantitative functions. The table look-up mechanism has the advantages for computation and realization.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Ferber J (1999) Multi-agent systems: an introduction to distributed artificial intelligence. Addison Wesley Longman Inc, New York
Biniaris CG, Antonis IK, Dimitra IK, Iakovos SV (2002) Implementing distributed FDTD codes with java mobile agents. IEEE Antennas Propag Mag 44(6):115–119.
Hur Y, Lee I (2002) Distributed simulation of multi-agent hybrid systems. In: Proceedings of fifth IEEE international symposium on object-oriented real-time distributed computing, (ISORC 2002), 29 April–1 May, Washington, pp 356–364
Mishra S, Xie P (2001) Interagent communication and synchronization in DaAgent. In: Proceedings of 21st international conference on distributed computing systems, 16–19 April 2001, Mesa, pp 699–702
Rai A, Bhagwan R, Guha S (2012) Generalized Resource Allocation for the Cloud. In: Proceedings of the third ACM symposium on cloud computing, SoCC ‘12, Oct 2012
Lama P, Zhou X (2012) AROMA: automated resource allocation and configuration of MapReduce environment in the cloud. In: Proceedings of the 9th international conference on Autonomic computing, ICAC’12, Sept 2012, pp 63–72
Wang W, Shin KG, Wang W (2012) Distributed resource allocation based on queue balancing in multihop cognitive radio networks. IEEE/ACM Trans Netw (TON) 20(3):1493–1512
Calinescu G, Chakrabarti A, Karloff H, Rabani Y (2011) An improved approximation algorithm for resource allocation. Trans Algor (TALG) 7(4) Article 48
Shih TK, Chang AY (1998) The algebra of spatio-temporal intervals. In: Proceedings of the 12th international conference on information networking, Jan 21–23, 1998
Allen JF (1983) Maintaining knowledge about temporal intervals. Commun ACM 26(11)
Raghavan SV, Prabhakaran B, Tripathi SK (1996) Synchronization representation and traffic source modeling in orchestrated presentation. IEEE J Sel Areas Commun 14(1):104–113
Acknowledgments
This work is supported by the National Science Council of Taiwan, under Grant NSC-101-2221-E-240-003.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer Science+Business Media Dordrecht
About this paper
Cite this paper
Chang, A.Y. (2013). A Computational Data Model of Intelligent Agents with Time-Varying Resources. In: Park, J., Barolli, L., Xhafa, F., Jeong, HY. (eds) Information Technology Convergence. Lecture Notes in Electrical Engineering, vol 253. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-6996-0_82
Download citation
DOI: https://doi.org/10.1007/978-94-007-6996-0_82
Published:
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-007-6995-3
Online ISBN: 978-94-007-6996-0
eBook Packages: EngineeringEngineering (R0)