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AIPS
2006
13 years 9 months ago
Probabilistic Planning with Nonlinear Utility Functions
Researchers often express probabilistic planning problems as Markov decision process models and then maximize the expected total reward. However, it is often rational to maximize ...
Yaxin Liu, Sven Koenig
MISQ
2002
111views more  MISQ 2002»
13 years 7 months ago
A Design Theory for Systems That Support Emergent Knowledge Processes
This paper addresses the design problem of providing IT support for emerging knowledge processes (EKPs). EKPs are organizational activity patterns that exhibit three characteristi...
M. Lynne Markus, Ann Majchrzak, Les Gasser
ECIS
2003
13 years 9 months ago
E-negotiations: towards engineering of technology-based social processes
Traditionally, negotiation support was based on normative and prescriptive research; its users were analysts and experts. The purpose of the recently developed e-negotiation syste...
Gregory E. Kersten
ECML
2006
Springer
13 years 9 months ago
Reinforcement Learning for MDPs with Constraints
In this article, I will consider Markov Decision Processes with two criteria, each defined as the expected value of an infinite horizon cumulative return. The second criterion is e...
Peter Geibel
ACMICEC
2007
ACM
154views ECommerce» more  ACMICEC 2007»
13 years 12 months ago
Learning and adaptivity in interactive recommender systems
Recommender systems are intelligent E-commerce applications that assist users in a decision-making process by offering personalized product recommendations during an interaction s...
Tariq Mahmood, Francesco Ricci