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CL
2000
Springer
14 years 29 days ago
Logic, Knowledge Representation, and Bayesian Decision Theory
In this paper I give a brief overview of recent work on uncertainty inAI, and relate it to logical representations. Bayesian decision theory and logic are both normative frameworks...
David Poole
ICCBR
2010
Springer
14 years 16 days ago
Goal-Driven Autonomy with Case-Based Reasoning
The vast majority of research on AI planning has focused on automated plan recognition, in which a planning agent is provided with a set of inputs that include an initial goal (or ...
Héctor Muñoz-Avila, Ulit Jaidee, Dav...
ATAL
2006
Springer
14 years 11 days ago
Reducing price fluctuation in continuous double auctions through pricing policy and shout improvement
Auction mechanism design is a subfield of game theory dedicated to manipulating the rules of an auction so as to achieve specific goals. The complexity of the dynamics of auctions...
Jinzhong Niu, Kai Cai, Simon Parsons, Elizabeth Sk...
GECCO
2006
Springer
134views Optimization» more  GECCO 2006»
14 years 8 days ago
The Baldwin effect under spatial isolation and autonomous reproduction
The impact of learning on evolution in dynamic environments undergoes recognized stages of the Baldwin Effect although its cause is not clear. To identify it experimentally, we de...
H. L. Peng, J. C. Tay
AAAI
2007
13 years 11 months ago
Authorial Idioms for Target Distributions in TTD-MDPs
In designing Markov Decision Processes (MDP), one must define the world, its dynamics, a set of actions, and a reward function. MDPs are often applied in situations where there i...
David L. Roberts, Sooraj Bhat, Kenneth St. Clair, ...