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21#
發(fā)表于 2025-3-25 07:09:04 | 只看該作者
On the Role of Embodiment for Self-Organizing Robots: Behavior As Broken Symmetry embodiment for the behavior of both artificial and natural beings has become of much and increasing interest in recent times. In robotics, there are essentially two attitudes towards the physical embodiment. On the one hand, with rule based systems and/or systems intended to execute a given motion
22#
發(fā)表于 2025-3-25 08:33:47 | 只看該作者
23#
發(fā)表于 2025-3-25 12:07:54 | 只看該作者
24#
發(fā)表于 2025-3-25 19:42:21 | 只看該作者
25#
發(fā)表于 2025-3-25 23:41:11 | 只看該作者
Measuring Information Dynamics in Swarmsions and tracing collectivememory. These elements of distributed computation provide complementary views into the capacity for swarm coherence and reorganization. The approach deals with both global and local information dynamics ultimately discovering diverse ways in which an individual’s location
26#
發(fā)表于 2025-3-26 00:25:59 | 只看該作者
Guiding Designs of Self-Organizing Swarms: Interactive and Automated Approachesse, hierarchical manner, to create an artifact that will behave deterministically in an intended way (Minai et al. 2006; Pahl et al. 2007). However, this process does not apply to complex systems that show self-organization, adaptation and emergence. Complex systems consist of a massive amount of si
27#
發(fā)表于 2025-3-26 06:40:40 | 只看該作者
Mutual Information As a Task-Independent Utility Function for Evolutionary Roboticss that produce a desired swarm behaviour without an . knowledge of the system features. For this reason, evolutionary or learning processes have been widely used to automatically synthesise group behaviours (see, for instance, Matari? 1997; Quinn et al. 2003; Baldassarre et al. 2007). In this paper,
28#
發(fā)表于 2025-3-26 09:34:27 | 只看該作者
Evolution of Complexity and Neural Topologiesmation theory (Avery 2003), or thermodynamics and maximum physical entropy (Jaynes 1957a,b; Swenson 1989) natural processes have yielded a remarkable diversity of behavioral and organizational levels of complexity ranging from microbes to man.
29#
發(fā)表于 2025-3-26 13:01:49 | 只看該作者
Anarchismus im Zarenreich: , und ,t al. 2007; Heylighen et al. 2007). Traditionally, science has been reductionistic. Still, complexity occurs when components are difficult to separate, due to relevant .. These interactions are relevant because they generate novel informationwhich determines the future of systems. This fact has several implications (Gershenson 2013).
30#
發(fā)表于 2025-3-26 20:01:29 | 只看該作者
Die Rückkehr des l?ndlichen Blicksrticular, emergent complex behavior has often been described from the perspective of computation within the system (Mitchell 1998b,a) and has been postulated to be associated with the capability to support universal computation (Langton 1990; Wolfram 1984c; Casti 1991).
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