Machine learning an artificial intelligence approach volume II
Machine learning an artificial intelligence approach volume II
The society of mind
Algorithmic information theory
Algorithmic information theory
The emperor's new mind: concerning computers, minds, and the laws of physics
The emperor's new mind: concerning computers, minds, and the laws of physics
Self-organization and associative memory: 3rd edition
Self-organization and associative memory: 3rd edition
Intelligence without representation
Artificial Intelligence
Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Towards an algorithmic theory of adaptation
Theoretical Computer Science
Outline for a Logical Theory of Adaptive Systems
Journal of the ACM (JACM)
Introduction to Expert Systems
Introduction to Expert Systems
Enchanted Loom
Remembering to forget: a competence-preserving case deletion policy for case-based reasoning systems
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
Navigation in unforeseeable and unstable environments: a taxonomy of environments
ICSAB Proceedings of the seventh international conference on simulation of adaptive behavior on From animals to animats
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Our goal is to go deeper into the many writings on Behavior-Based Artificial Intelligence [Meyer et al., From Animals to Animats, MIT Press, 1992] and to understand the interest---rather than the mechanisms---of learning. Our intention is to study the complexity of the behavior of living beings from a theoretical point of view. To do so, we introduce formal environments that model the survival issue. Then we prove in this formal context that, many times, the extra cost imposed by the conservation of information, even if it is relevant, is greater than the benefit of knowing it. Consequently, in order to survive in our abstract worlds, one must manage his knowledge in a way that fits the evolution of the environment. Furthermore, physiological observations corroborate these purely theoretical results. Thus, we use these results to design a parallel system in which each module manages its knowledge in a specific way. This enables us to obtain a virtual creature whose behavior evokes that of a biological hen.