•The search of FA is determined by the attractions among fireflies.•Too many attractions may result in the oscillations of search and high complexity.•A neighborhood attraction model is proposed in ...this paper.•The proposed approach can effectively improve the performance of FA.
Firefly algorithm (FA) is a new optimization technique based on swarm intelligence. It simulates the social behavior of fireflies. The search pattern of FA is determined by the attractions among fireflies, whereby a less bright firefly moves toward a brighter firefly. In FA, each firefly can be attracted by all other brighter fireflies in the population. However, too many attractions may result in oscillations during the search process and high computational time complexity. To overcome these problems, we propose a new FA variant called FA with neighborhood attraction (NaFA). In NaFA, each firefly is attracted by other brighter fireflies selected from a predefined neighborhood rather than those from the entire population. Experiments are conducted using several well-known benchmark functions. The results show that the proposed strategy can efficiently improve the accuracy of solutions and reduce the computational time complexity.
W for Wiener Montagnini, Leone
Lettera matematica PRISTEM.,
01/2017, Letnik:
5, Številka:
2
Journal Article
Recenzirano
Wiener was a great mathematician endowed with a vast philosophical background. His educational path was strongly influenced by Pragmatist anti-foundationalism, while he felt an instinctive attraction ...for logical rigour. During the years in which he was close to Russell, Wiener sustained ideas akin to the future results of Gödel. He pointed out that logical rigour can lead to less risky and creative ground. In his opinion, one finds this attitude both in logical positivism and in the Soviet ideology about science.
Purpose
The purpose of this paper is to develop a comprehensive research model that can explain customers’ continuance intentions to adopt and use intelligent personal assistants (IPAs).
...Design/methodology/approach
This study proposes and validates a new theoretical model that extends the parasocial relationship (PSR) theory. Partial least squares analysis is employed to test the research model and corresponding hypotheses on data collected from 304 survey samples.
Findings
Interpersonal attraction (task attraction, social attraction, and physical attraction) and security/privacy risk are important factors affecting the adoption of IPAs.
Research limitations/implications
First, this is the first empirical study to examine user acceptance of IPAs. Second, to the authors’ knowledge, no research has been conducted to test the role of PSR in the context of IPAs. Third, this study verified the robustness of the proposed model by introducing new antecedents reflecting risk-related attributes, which has not been investigated in prior PSR research. But this study has limitations that future research may address. First, key findings of this research are based only on data from users in the USA. Second, individual differences among the survey respondents were not examined.
Practical implications
To increase the adoption of IPAs, manufacturers should focus on developing “human-like” and “professional” assistants, in consideration of the important role of PSR and task attraction. R&D should continuously strive to realize artificial intelligence technology advances so that IPAs can better recognize the user’s voice and speak naturally like a person. Collaboration with third-party companies or individual developers is essential in this field, as manufacturers are unable to independently develop applications that support the specific tasks of various industries. It is also necessary to enhance IPA device design and its user interface to enhance physical attraction.
Originality/value
This study is the first empirical attempt to examine user acceptance of IPAs, as most of the prior literature has concerned analysis of usage patterns or technical features.
In the vector-field guided path-following problem, a sufficiently smooth vector field is designed such that its integral curves converge to and move along a one-dimensional geometric desired path. ...The existence of singular points where the vector field vanishes creates a topological obstruction to global convergence to the desired path and some associated topological analysis has been conducted in 1. In this paper, we strengthen the result in 1, Theorem 2 by showing that the domain of attraction of the desired path, which is a compact asymptotically stable one-dimensional embedded submanifold of an <inline-formula><tex-math notation="LaTeX">n</tex-math></inline-formula>-dimensional ambient manifold <inline-formula><tex-math notation="LaTeX">{\mathcal{M}}</tex-math></inline-formula>, is homeomorphic to <inline-formula><tex-math notation="LaTeX">\mathbb {R}^{n-1} \times \mathbb {S}^{1}</tex-math></inline-formula>, and not just homotopy equivalent to <inline-formula><tex-math notation="LaTeX">\mathbb {S}^{1}</tex-math></inline-formula> as shown in 1, Theorem 2. This result is extended for a <inline-formula><tex-math notation="LaTeX">k</tex-math></inline-formula>-dimensional compact manifold for <inline-formula><tex-math notation="LaTeX">k \ge 2</tex-math></inline-formula>.
We report dissipative magnon-photon coupling caused by the cavity Lenz effect, where the magnons in a magnet induce a rf current in the cavity, leading to a cavity backaction that impedes the ...magnetization dynamics. This effect is revealed in our experiment as level attraction with a coalescence of hybridized magnon-photon modes, which is distinctly different from level repulsion with mode anticrossing caused by coherent magnon-photon coupling. We develop a method to control the interpolation of coherent and dissipative magnon-photon coupling, and observe a matching condition where the two effects cancel. Our work sheds light on the so-far hidden side of magnon-photon coupling, opening a new avenue for controlling and utilizing light-matter interactions.
Complex dynamical systems, ranging from the climate, ecosystems to financial markets and engineering applications typically have many coexisting attractors. This property of the system is called ...multistability. The final state, i.e., the attractor on which the multistable system evolves strongly depends on the initial conditions. Additionally, such systems are very sensitive towards noise and system parameters so a sudden shift to a contrasting regime may occur. To understand the dynamics of these systems one has to identify all possible attractors and their basins of attraction. Recently, it has been shown that multistability is connected with the occurrence of unpredictable attractors which have been called hidden attractors. The basins of attraction of the hidden attractors do not touch unstable fixed points (if exists) and are located far away from such points. Numerical localization of the hidden attractors is not straightforward since there are no transient processes leading to them from the neighborhoods of unstable fixed points and one has to use the special analytical–numerical procedures. From the viewpoint of applications, the identification of hidden attractors is the major issue. The knowledge about the emergence and properties of hidden attractors can increase the likelihood that the system will remain on the most desirable attractor and reduce the risk of the sudden jump to undesired behavior. We review the most representative examples of hidden attractors, discuss their theoretical properties and experimental observations. We also describe numerical methods which allow identification of the hidden attractors.
This paper presents two experimental studies investigating the impact of mobile messaging during an offline conversation on relational outcomes. A first study examined the impact on impression ...formation. A 3 × 1 experiment revealed that phone users were perceived as significantly less polite and attentive, and that self-initiated messaging behavior led to more negative impression formation than messaging behavior in response to a notification. A second study examined the impact on perceived conversation quality and social attraction. A 2 × 2 experiment revealed that perceived conversation quality was negatively affected by co-present mobile messaging behavior, while social attraction was not. Whether persons were acquainted or not with the phone user did not moderate this relationship.
•We examined whether co-present texting impacts negatively on relational outcomes.•In experiment 1, co-present texters were perceived as less polite and attentive.•In experiment 2, co-present texting caused perceptions of lower conversation quality.•Experiment 2 found no negative impact on social attraction.•Concerns over the harmful effect of co-present phone use appear warranted.
The very close natural floatability of molybdenite and talc has been traditionally believed as the main reason for their separation problem. However, the interactions between the basal and edge ...planes of the two platy minerals remain unclear. Here the hydrophobic attraction between the basal planes was proposed as the dominating factor for that problem. Flotation tests in both single and mixed mineral systems were conducted using carboxymethyl cellulose (CMC) as talc depressant and sodium isobutyl xanthate (SIBX) as molybdenite collector. Zeta potential distribution, contact angle, in situ optical microscope observation, EDLVO calculation and surface energy analysis were applied to reveal the surfacial actions between the basal and edge planes of molybdenite and talc. Molybdenite and talc showed obvious floatability difference in single mineral system, however, their separation efficiency met with big decline in mixed mineral system. Zeta potential results demonstrated that, in the presence of CMC and SIBX, negatively charged particles of molybdenite and talc aggregated rather than electrostatically repulsed and dispersed. The contact angle and particle adhesion results showed a certain degree of selective attraction between the basal planes of molybdenite and talc. The EDLVO calculation suggested the attractive interactions were ranked as: Mb(basal)-Tlc(edge) > Mb(basal)-Tlc(basal) ≈ Mb(edge)-Tlc(edge) > Mb(edge)-Tlc(basal). The surface energy calculation pointed out that the fundamental reason for the separation problem was exactly the hetero-hydrophobic attraction between their basal planes.
Display omitted
●Molybdenite and talc aggregated rather than electrostatically dispersed.●There existed attractions between basal planes of molybdenite and talc.●These attractions were ranked as: Mb(basal)-Tlc(edge) > Mb(basal)-Tlc(basal) ≈ Mb(edge)-Tlc(edge) > Mb(edge)-Tlc(basal).●The hetero-hydrophobic attraction constituted the separation problem.
This paper considers the initial–boundary value problem of the attraction–repulsion Keller–Segel model describing aggregation of Microglia in the central nervous system in Alzheimer's disease due to ...the interaction of chemoattractant and chemorepellent. If repulsion dominates over attraction, we show the global existence of classical solution in two dimensions and weak solution in three dimensions with large initial data.
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