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GECCO
1999
Springer
133views Optimization» more  GECCO 1999»
14 years 1 months ago
Evolution of Goal-Directed Behavior from Limited Information in a Complex Environment
In this paper, we apply an evolutionary algorithm to learning behavior on a novel, interesting task to explore the general issue of learning e ective behaviors in a complex enviro...
Matthew R. Glickman, Katia P. Sycara
AIIDE
2008
13 years 11 months ago
Modeling Culturally and Emotionally Affected Behavior
Culture and emotions have a profound impact on human behavior. Consequently, high-fidelity simulated interactive environments (e.g., trainers and computer games) that involve virt...
Vadim Bulitko, Steve Solomon, Jonathan Gratch, Mic...
DIMVA
2008
13 years 10 months ago
Learning and Classification of Malware Behavior
Malicious software in form of Internet worms, computer viruses, and Trojan horses poses a major threat to the security of networked systems. The diversity and amount of its variant...
Konrad Rieck, Thorsten Holz, Carsten Willems, Patr...
CEC
2009
IEEE
14 years 4 months ago
How robot morphology and training order affect the learning of multiple behaviors
— Automatically synthesizing behaviors for robots with articulated bodies poses a number of challenges beyond those encountered when generating behaviors for simpler agents. One ...
Joshua S. Auerbach, Josh C. Bongard
UIST
2006
ACM
14 years 3 months ago
Viz: a visual analysis suite for explaining local search behavior
NP-hard combinatorial optimization problems are common in real life. Due to their intractability, local search algorithms are often used to solve such problems. Since these algori...
Steven Halim, Roland H. C. Yap, Hoong Chuin Lau