NDLI: Experiences in simulating multi-agent systems using TAEMS

Content Provider	IEEE Xplore Digital Library
Author	Vincent, R. Horling, B. Lesser, V.
Copyright Year	2000
Description	Author affiliation: Dept. of Comput. Sci., Massachusetts Univ., Amherst, MA, USA (Vincent, R.)
Abstract	As researchers in multi-agent systems, we hope to build, deploy, and most importantly evaluate multi-agent systems in real, open environments. Unfortunately, working in such environments usually implies we expend significant energy on resolving issues orthogonal to the initial goals of the research, such as dealing with the knowledge engineering and low-level system integration issues. To avoid such overhead many researchers choose to implement, test and evaluate their multi-agent systems in a simulated world. In addition to providing a better-defined and predictable debugging environment, a good simulator can also help evaluate and quantify aspects of multi-agent system and multi-agent coordination in a controlled environment through repeated experiments. We report on experiences in simulating multi-agent systems using TAEMS. TAEMS is a task modeling language that can be used to represent agent activities. It models planned actions, candidate activities, and alternative solution paths from a quantified perspective, by using a task decomposition tree. In this design, the root nodes of the structure, or task groups, represent goals the agent can achieve. Internal nodes, or tasks, represent sub-goals and provide the organizational structure for primitive executable methods, which reside at the leaves of the tree. Each method is characterized along three dimensions: quality, which the agent hopes to maximize, cost, which the agent tries to minimize, and duration, which describes the time required to executing the method. The dimensions themselves are discrete distributions, so each probability/value pair represents a potential result for the characteristic in question.
Starting Page	455
Ending Page	456
File Size	106895
Page Count	2
File Format	PDF
ISBN	0769506259
DOI	10.1109/ICMAS.2000.858522
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2000-07-12
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computer science Knowledge engineering System testing Multiagent systems Uncertainty Costs Computational modeling Energy resolution Predictive models Statistics
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Transaction oriented computational models for multi-agent systems

Analysing the Performance of Optimistic Synchronisation Algorithms in Simulations of Multi-Agent Systems

Agent-based modelling: a case study in HIV epidemic

Alternating-time temporal belief and knowledge logic in multi-agent systems

Adaptation of multi-agent systems for power infrastructure defense

A computational model for simulating spatial aspects of crime in urban environments

Multi-agent based models of social contagion and emergent collective behavior

Analysis and design of HWME using holonic multi-agent systems

Modeling a Complex Socioeconomic Systems Using Multi-agent Platform

Experiences in simulating multi-agent systems using TAEMS

Similar Documents

Transaction oriented computational models for multi-agent systems

Analysing the Performance of Optimistic Synchronisation Algorithms in Simulations of Multi-Agent Systems

Agent-based modelling: a case study in HIV epidemic

Alternating-time temporal belief and knowledge logic in multi-agent systems

Adaptation of multi-agent systems for power infrastructure defense

A computational model for simulating spatial aspects of crime in urban environments

Multi-agent based models of social contagion and emergent collective behavior

Analysis and design of HWME using holonic multi-agent systems

Modeling a Complex Socioeconomic Systems Using Multi-agent Platform

Experiences in simulating multi-agent systems using TAEMS