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DAGSTUHL
2007
13 years 8 months ago
Learning Probabilistic Relational Dynamics for Multiple Tasks
The ways in which an agent’s actions affect the world can often be modeled compactly using a set of relational probabilistic planning rules. This paper addresses the problem of ...
Ashwin Deshpande, Brian Milch, Luke S. Zettlemoyer...
MABS
1998
Springer
13 years 11 months ago
ABCDE: Agent Based Chaotic Dynamic Emergence
This paper concerns agent based experiments in the field of negotiation and exchange simulation. A computer simulation environment is built, showing the emergence of chaotic price ...
Pietro Terna
KR
2004
Springer
14 years 21 days ago
Learning Probabilistic Relational Planning Rules
To learn to behave in highly complex domains, agents must represent and learn compact models of the world dynamics. In this paper, we present an algorithm for learning probabilist...
Hanna Pasula, Luke S. Zettlemoyer, Leslie Pack Kae...
CGF
2004
140views more  CGF 2004»
13 years 7 months ago
Measurement-Based Interactive Simulation of Viscoelastic Solids
Animation of viscoelastic solids in entertainment and medical applications as well as scientific simulation can be improved through observations of real world objects. This paper ...
Jeffrey Schoner, Jochen Lang, Hans-Peter Seidel
DAGSTUHL
2003
13 years 8 months ago
The Future of Embodied Artificial Intelligence: Machine Consciousness?
The idea that internal models of the world might be useful has generally been rejected by embodied AI for the same reasons that led to its rejection by behaviour based robotics. Th...
Owen Holland