Sciweavers

212 search results - page 2 / 43
» Learning the task allocation game
Sort
View
119
Voted
ATAL
2009
Springer
15 years 7 months ago
Decentralised dynamic task allocation: a practical game: theoretic approach
This paper reports on a novel decentralised technique for planning agent schedules in dynamic task allocation problems. Specifically, we use a Markov game formulation of these pr...
Archie C. Chapman, Rosa Anna Micillo, Ramachandra ...
95
Voted
SIGCSE
2004
ACM
132views Education» more  SIGCSE 2004»
15 years 6 months ago
Using game days to teach a multiagent system class
Multiagent systems is an attractive problem solving approach that is becoming ever more feasible and popular in today’s world. It combines artificial intelligence (AI) and distr...
Leen-Kiat Soh
GECCO
2007
Springer
143views Optimization» more  GECCO 2007»
15 years 7 months ago
Learning and exploiting knowledge in multi-agent task allocation problems
Imagine a group of cooperating agents attempting to allocate tasks amongst themselves without knowledge of their own capabilities. Over time, they develop a belief of their own sk...
Adam Campbell, Annie S. Wu
125
Voted
AIIDE
2008
15 years 3 months ago
Adaptive Spatial Reasoning for Turn-based Strategy Games
The quality of AI opponents often leaves a lot to be desired, which poses many attractive challenges for AI researchers. In this respect, Turn-based Strategy (TBS) games are of pa...
Maurice H. J. Bergsma, Pieter Spronck
114
Voted
KDD
2009
ACM
190views Data Mining» more  KDD 2009»
16 years 1 months ago
Named entity mining from click-through data using weakly supervised latent dirichlet allocation
This paper addresses Named Entity Mining (NEM), in which we mine knowledge about named entities such as movies, games, and books from a huge amount of data. NEM is potentially use...
Gu Xu, Shuang-Hong Yang, Hang Li