Search
Now showing items 51-60 of 139
What Software Evolution and Biological Evolution Don't Have in Common
(Institute of Electrical and Electronics Engineers (IEEE), 2006)
Understanding software change as an evolutionary process analogous to biological evolution is an increasingly popular approach to software evolvability but requires some caution. Issues of evolvability make sense not only ...
Peekaboo: Effect of Experience Length on the Interaction History Driven Ontogeny of a Robot
(Lund University, 2006)
Action, State and Effect Metrics for Robot Imitation
(Institute of Electrical and Electronics Engineers (IEEE), 2006)
This paper addresses the problem of body mapping in robotic imitation where the demonstrator and imitator may not share the same embodiment (degrees of freedom (DOFs), body morphology, constraints, affordances and so on). ...
Extending the temporal horizon of autonomous robots
(Springer Nature, 2006)
We introduce mathematically rigorous metrics on agent experiences having various temporal horizons. Sensorimotor variables accessible to the agent are--treated as information-theoretic sources modelled as random variables. ...
Naturally Occurring Gestures in a Human-Robot Teaching Scenario
(Institute of Electrical and Electronics Engineers (IEEE), 2006)
This paper describes our general framework for the investigation of how human gestures can be used to facilitate the interaction and communication between humans and robots.
Relevant information in optimized persistence vs. progeny strategies
(MIT Press, 2006)
Evolutionary robustness of differentiation in genetic regulatory networks
(IOS Press, 2006)
We investigate the ability of artificial Genetic Regulatory Networks (GRNs) to evolve differentiation. The proposed GRN model supports non-linear interaction between regulating factors, thereby facilitating the realization ...
Making sense of the sensory data - coordinate systems by hierarchical decomposition
(2006)
Having the right sensory channels is an important ingredient for building an autonomous agent, but we still have the problem of making sense of the sensory data for the agent. This is the basic problem of artificial ...