By J. Mira, A. E. Delgado (auth.), Prof. Dr. Changjiu Zhou, Prof. Dr. Darío Maravall, Dr. Dr. h.c. Da Ruan (eds.)
This ebook includes an edited number of eighteen contributions on tender and tough computing strategies and their purposes to self sufficient robot structures. each one contribution has been completely written for this quantity through a number one researcher. the amount demonstrates a number of the ways in which the smooth computing and difficult computing thoughts can be utilized in numerous built-in manners to higher increase self reliant robot structures which may practice numerous initiatives of imaginative and prescient, belief, cognition, considering, development acceptance, decision-making, and reasoning and keep an eye on, among others. every one bankruptcy of the e-book is self-contained and issues out the longer term course of analysis.
"It is a needs to studying for college kids and researchers attracted to exploring the potentials of the attention-grabbing box that would shape the root for the layout of the clever machines of the long run"
(Madan M. Gupta)
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Additional info for Autonomous Robotic Systems: Soft Computing and Hard Computing Methodologies and Applications
In some special cases of estimation problems, where the fusion aims at assessing the value of a given control parameter, evaluation and validation can be performed considering the true value of that parameter. Among the techniques suitable for such purpose we may mention the Monte Carlo simulations , and covariance error prediction and analysis [ 17]. 2 Type of Knowledge and Information Fusion Level Depending on the nature of the information stemming from the different sources, Dasarathy  distinguished between three levels of inputs: data, feature and decision.
Further, the architectures differ in the degree to which the single sources are able and allowed to make decisions for the overall system. In this respect, we may distinguish: Centralized architecture: no decision is performed at the source level. Rather, all the data-input are transferred to a central unit who will then perform the overall decision. Consequently, any change in one source will be immediately propagated to the global decision. Usually, many of the existing fusion systems use a centralized architecture.
Applied Intelligence 10:2/3, pp 139-153 19. Herrero JC, Mira J (2000) Causality levels in SCHEMA: A knowledge edition interface. lEE Proceeding-Software Engineering, vol 147 No 5 pp 191-200 20. Fensel D, Anciele J, Studer R (1994) The specification language KARL and its declarative semantics. IS-CORE94 Workshop, pp 27-30 34 21. Mira J (2000) Computaci6n y antropomorfismo en rob6tica emocional. In: Mora F (ed) El cerebro sintiente. Ariel, Barcelona, pp 153-185 22. Ford K, Bradshaw JM, Adams-Webber JR, Agnew NM (1993) Knowledge acquisition as a constructive modeling activity.