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ATAL
2005
Springer
14 years 2 months ago
Modeling complex multi-issue negotiations using utility graphs
This paper presents an agent strategy for complex bilateral negotiations over many issues with inter-dependent valuations. We use ideas inspired by graph theory and probabilistic ...
Valentin Robu, D. J. A. Somefun, Johannes A. La Po...
AI
1998
Springer
13 years 8 months ago
Model-Based Average Reward Reinforcement Learning
Reinforcement Learning (RL) is the study of programs that improve their performance by receiving rewards and punishments from the environment. Most RL methods optimize the discoun...
Prasad Tadepalli, DoKyeong Ok
ATAL
2004
Springer
14 years 2 months ago
Negotiation to Improve Role Adoption in Organizations
We present negotiation schemes for efficient role adoption that enhance utility in organizations. In one scheme, local utility computations determine role adoption. In the second ...
Asad Rahman, Henry Hexmoor
ECAI
2006
Springer
14 years 16 days ago
A Logic-Based Framework to Compute Pareto Agreements in One-Shot Bilateral Negotiation
Abstract. We propose a logic-based approach to automated oneshot multi-issue bilateral negotiation. We use logic in two ways: (1) a logic theory to represent relations among issues...
Azzurra Ragone, Tommaso Di Noia, Eugenio Di Sciasc...
GECCO
2006
Springer
198views Optimization» more  GECCO 2006»
14 years 15 days ago
Reward allotment in an event-driven hybrid learning classifier system for online soccer games
This paper describes our study into the concept of using rewards in a classifier system applied to the acquisition of decision-making algorithms for agents in a soccer game. Our a...
Yuji Sato, Yosuke Akatsuka, Takenori Nishizono