Husbands, P., Harvey, I., Cliff, D., and Miller G. "Artificial Evolution: A New Path for Artificial Intelligence ?" Brain and Cognition v. 34, (1997), 130-159. Home/Search Document Details and Download
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Adaptive Behaviour, Autonomy and Value systems. Normative.. - Barandiaran (2002) (Correct)
....the emphasis on the em bodied, situated and dynamical nature of behaviour does not even mention the central role of the homeostatic maintenance of essential variables under viability constraints. Similarly almost all the work done in evolutionary robotics and evo lutionary simulations [20, 19, 14, 31, 39, 34] is aimed to produce specific cognitive adaptive behavioural patterns with no reference to autonomy, self sufficiency and essential variables. The aim of this work is to recover the notion of autonomy (as maintenance of essential variables under viability constraints) as a central notion for ....
....side of the agent s behavioural mechanism (neural networks) We believe that the incapacity of classical functionMist approaches to integrate the interactive and embodied nature of natural processes should not invalid all kind of functional accounts. Alife techniques (such as genetic algorithms [20]) and dynamical system theory can help us on the synthesis and analysis of the interactive functional processes (as defined above) involved in adaptive behaviour. 3.6 Value systems In our notation a value system could be described as a set of variables of the agent which change according to ....
P. Husbands, I. Harvey, D. Cliff, and G. Miller. Artificial Evolution: A New Path for Artificial Intelligence? Brain and Cognition, 34:130-159, 1997.
On Bots and Bacteria: Ontology Independent Embodiment - Quick, Dautenhahn.. (1999) (1 citation) (Correct)
.... [1, 912 ] and particularly in Beer s work where particular emphasis is placed on the role of sensorimotor dynamics and structural coupling in autonomous behaviour in robotic systems [13, 14] Sensorimotor coordination also features in research emphasising the evolution of neural control systems [15]. Software Agents. Applying ideas about embodiment in the domain of software necessitates an ontological shift, simply because software is not based on the manipulation of physical matter. Kushmerick offers a detailed discussion of embodiment in the context of software, but emphasis is placed on ....
Husbands, P, Harvey, I. et al.: Artificial evolution: a new path for Artificial Intelligence? Brain & Cog. 34 (1997) 130-159
Trends In Evolutionary Robotics - Meeden, Kumar (1998) (Correct)
....cases at least it has been shown that they can be made accurate enough. Their attractive qualities of speed and ease of data collection can then be made use of. 24] It is frankly easier to use robots situated in the real world than it is to try to build some all encompassing super simulation. [23] What makes a robot distinct from any other artificial intelligence project is that one must actually deal with hardware and the intrinsic limitations that all physical sensing and acting systems have [20] By using a simulation, one can sidestep these difficult hardware interactions completely, ....
P. Husbands, I. Harvey, D. Cliff, and G. Miller. Artificial evolution: A new path for artificial intelligence? Brain and Cognition, 34:130--159, 1997.
Evolving Neurocontrollers for Balancing an Inverted Pendulum - Pasemann (1997) (1 citation) (Correct)
.... This is also in the spirit of evolutionary robotics, where one has to generate brains or nervous systems for robots, which have to operate on different noise sensor inputs and have to coordinate different motor actions to behave successfully in an interesting environment (compare e.g. 11] [10]) There is one more observation one can make: there are controllers with a genuine internal dynamics, i.e. one which is immanent in the structure (for example oscillations, as for w 8 ) which here is functional in the sense that keeping the cart in fast oscillations will balance the pole. ....
Husbands, P., Harvey, I., Cliff, D., and Miller, G. (1997), Artificial evolution: A new path for artificial intelligence?, Brain and Cognition, 34, pp. 130-159.
Punctuated Anytime Learning for Evolutionary Robotics - Parker, Larochelle (2000) (Correct)
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Husbands, P., Harvey, I., Cliff, D., and Miller G. "Artificial Evolution: A New Path for Artificial Intelligence ?" Brain and Cognition v. 34, (1997), 130-159.
The Co-Evolution of Model Parameters and Control Programs in.. - Parker (1999) (Correct)
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Husbands, P., Harvey, I., Cliff, D., and Miller G. (1997). "Artificial Evolution: A New Path for Artificial Intelligence?" Brain and Cognition v. 34, (pp. 130-159).
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