Sciweavers

709 search results - page 11 / 142
» Real-World Limits to Algorithmic Intelligence
Sort
View
IAT
2008
IEEE
15 years 4 months ago
Negotiation in Semi-cooperative Agreement Problems
In this paper we introduce the Semi-Cooperative Extended Incremental Multiagent Agreement Problem with Preferences (SC-EIMAPP). In SC-EIMAPPs, variables arise over time. For each ...
Elisabeth Crawford, Manuela M. Veloso
ATAL
1995
Springer
15 years 1 months ago
Alarms: An Implementation of Motivated Agency
Autonomousagentsin the real world must be capableof asynchronous goal generation. However, one consequence of this ability is that the agent may generate a substantial number of go...
Timothy J. Norman, Derek Long
GECCO
2008
Springer
177views Optimization» more  GECCO 2008»
14 years 10 months ago
Reduced computation for evolutionary optimization in noisy environment
Evolutionary Algorithms’ (EAs’) application to real world optimization problems often involves expensive fitness function evaluation. Naturally this has a crippling effect on ...
Maumita Bhattacharya
GECCO
2006
Springer
192views Optimization» more  GECCO 2006»
15 years 1 months ago
Optimising cancer chemotherapy using an estimation of distribution algorithm and genetic algorithms
This paper presents a methodology for using heuristic search methods to optimise cancer chemotherapy. Specifically, two evolutionary algorithms - Population Based Incremental Lear...
Andrei Petrovski, Siddhartha Shakya, John A. W. Mc...
AROBOTS
2007
159views more  AROBOTS 2007»
14 years 9 months ago
Structure-based color learning on a mobile robot under changing illumination
— A central goal of robotics and AI is to be able to deploy an agent to act autonomously in the real world over an extended period of time. To operate in the real world, autonomo...
Mohan Sridharan, Peter Stone