Intelligent information-sharing systems
Communications of the ACM
Predicting tradeoffs in contract-based distributed scheduling
Predicting tradeoffs in contract-based distributed scheduling
An automated meeting scheduling system that utilizes user preferences
AGENTS '97 Proceedings of the first international conference on Autonomous agents
Distributed constraint optimization for medical appointment scheduling
Proceedings of the fifth international conference on Autonomous agents
Designing Agent-Based Electronic Employment Markets
Electronic Commerce Research
Agent-Based Supply Chain Integration
Information Technology and Management
Agent-Based Engineering, the Web, and Intelligence
IEEE Expert: Intelligent Systems and Their Applications
Deliberation Levels in Theoretic-Decision Approaches for Task Allocation in Resource-Bounded Agents
Balancing Reactivity and Social Deliberation in Multi-Agent Systems, From RoboCup to Real-World Applications (selected papers from the ECAI 2000 Workshop and additional contributions)
Optimizing Agent-Based Negotiations with Branch-and-Bound
AMT '01 Proceedings of the 6th International Computer Science Conference on Active Media Technology
Adaptive Meeting Scheduling for Large-Scale Distributed Groupware
BT Technology Journal
ICEC '05 Proceedings of the 7th international conference on Electronic commerce
Constraint-based reasoning and privacy/efficiency tradeoffs in multi-agent problem solving
Artificial Intelligence - Special issue: Distributed constraint satisfaction
Autonomous Agents and Multi-Agent Systems
Software—Practice & Experience - Research Articles
A Classification Structure for Automated Negotiations
WI-IATW '06 Proceedings of the 2006 IEEE/WIC/ACM international conference on Web Intelligence and Intelligent Agent Technology
A distributed multi-agent meeting scheduler
Journal of Computer and System Sciences
A MULTI-AGENT SYSTEM FOR UNIVERSITY COURSE TIMETABLING
Applied Artificial Intelligence
A meeting scheduling problem respecting time and space
Geoinformatica
An automated distributed meeting scheduler for FCVW plug-in
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 4
Meeting Scheduling Assembles Children in the Rectangular Forest
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 02
Constraint-based reasoning and privacy/efficiency tradeoffs in multi-agent problem solving
Artificial Intelligence - Special issue: Distributed constraint satisfaction
A genetic fuzzy agent using ontology model for meeting scheduling system
Information Sciences: an International Journal
A three-tier view-based methodology for adapting human-agent collaboration systems
CAiSE'03 Proceedings of the 15th international conference on Advanced information systems engineering
Autonomous dynamic reconfiguration in multi-agent systems: improving the quality and efficiency of collaborative problem solving
Agent-based distributed intrusion alert system
IWDC'04 Proceedings of the 6th international conference on Distributed Computing
A comparison of two agent interaction design approaches
Multiagent and Grid Systems
A personal meeting scheduling agent
Personal and Ubiquitous Computing
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Computer networks provide an infrastructure for improving group performance. Tools such as e-mail and shared-file systems help people access and manipulate information. However, they can also impair human performance through overuse or abuse. Introducing intelligent agents into these systems can automate routine organizational tasks, preventing errors produced by the tedious nature of such work. Previously, my colleagues and I studied the usefulness of different heuristic negotiation strategies to solve a precisely defined distributed meeting- scheduling (DMS) problem. We developed analytical, expected-performance models of heuristic strategy combinations and verified them through simulations. In this article, I describe our current project: to design and implement a software system that uses intelligent meeting-scheduling agents that can negotiate with other agents without compromising their user-specified constraints. A small group of researchers in our department runs the prototype system, and we are using the feedback to improve the interface and expand the functionality of the system.