Axiomatic foundation of the analytic hierarchy process
Management Science
Technical Note: \cal Q-Learning
Machine Learning
Belief-desire-intention agent architectures
Foundations of distributed artificial intelligence
High-performance bidding agents for the continuous double auction
Proceedings of the 3rd ACM conference on Electronic Commerce
Predicting Application Run Times Using Historical Information
IPPS/SPDP '98 Proceedings of the Workshop on Job Scheduling Strategies for Parallel Processing
A proportional share resource allocation algorithm for real-time, time-shared systems
RTSS '96 Proceedings of the 17th IEEE Real-Time Systems Symposium
Some Economics of Market-Based Distributed Scheduling
ICDCS '98 Proceedings of the The 18th International Conference on Distributed Computing Systems
A Fuzzy-Logic Based Bidding Strategy for Autonomous Agents in Continuous Double Auctions
IEEE Transactions on Knowledge and Data Engineering
A Networking Approach to Grid Computing
A Networking Approach to Grid Computing
Analyzing Market-Based Resource Allocation Strategies for the Computational Grid
International Journal of High Performance Computing Applications
Cooperative Multi-Agent Learning: The State of the Art
Autonomous Agents and Multi-Agent Systems
Autonomous Adaptive Agents for Single Seller Sealed Bid Auctions
Autonomous Agents and Multi-Agent Systems
Learning-Based Negotiation Strategies for Grid Scheduling
CCGRID '06 Proceedings of the Sixth IEEE International Symposium on Cluster Computing and the Grid
On-line evolutionary computation for reinforcement learning in stochastic domains
Proceedings of the 8th annual conference on Genetic and evolutionary computation
ZIP60: an enhanced variant of the ZIP trading algorithm
CEC-EEE '06 Proceedings of the The 8th IEEE International Conference on E-Commerce Technology and The 3rd IEEE International Conference on Enterprise Computing, E-Commerce, and E-Services
Auctioning resources in Grids: model and protocols: Research Articles
Concurrency and Computation: Practice & Experience
Tycoon: An implementation of a distributed, market-based resource allocation system
Multiagent and Grid Systems
If multi-agent learning is the answer, what is the question?
Artificial Intelligence
Distributed Resource Selection in Grid Using Decision Theory
CCGRID '07 Proceedings of the Seventh IEEE International Symposium on Cluster Computing and the Grid
Autonomous Bidding Agents: Strategies and Lessons from the Trading Agent Competition (Intelligent Robotics and Autonomous Agents)
Multi-agent Learning Dynamics: A Survey
CIA '07 Proceedings of the 11th international workshop on Cooperative Information Agents XI
Reinforcement learning: a survey
Journal of Artificial Intelligence Research
Learning and multiagent reasoning for autonomous agents
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Agent-human interactions in the continuous double auction
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
Exploring bidding strategies for market-based scheduling
Decision Support Systems - Special issue: The fourth ACM conference on electronic commerce
Workload analysis of a cluster in a grid environment
JSSPP'05 Proceedings of the 11th international conference on Job Scheduling Strategies for Parallel Processing
Three automated stock-trading agents: a comparative study
AAMAS'04 Proceedings of the 6th AAMAS international conference on Agent-Mediated Electronic Commerce: theories for and Engineering of Distributed Mechanisms and Systems
Message Protocols for Provisioning and Usage of Computing Services
GECON '09 Proceedings of the 6th International Workshop on Grid Economics and Business Models
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The application of autonomous agents by the provisioning and usage of computational services is an attractive research field. Various methods and technologies in the area of artificial intelligence, statistics and economics are playing together to achieve i) autonomic service provisioning and usage of Grid services, to invent ii) competitive bidding strategies for widely used market mechanisms and to iii) incentivize consumers and providers to use such market-based systems. The contributions of the paper are threefold. First, we present a bidding agent framework for implementing artificial bidding agents, supporting consumers and providers in technical and economic preference elicitation as well as automated bid generation by the requesting and provisioning of Grid services. Secondly, we introduce a novel consumer-side bidding strategy, which enables a goal-oriented and strategic behavior by the generation and submission of consumer service requests and selection of provider offers. Thirdly, we evaluate and compare the Q-strategy, implemented within the presented framework, against the Truth-Telling bidding strategy in three mechanisms --- a centralized CDA, a decentralized on-line machine scheduling and a FIFO-scheduling mechanisms.