Nazmul Siddique,Hojjat Adeli
Nazmul Siddique
This paper presents an overview of significant advances made in the emerging field of nature-inspired computing (NIC) with a focus on the physics- and biology-based approaches and algorithms. A parallel development in the past two decades h...
Sherlock: A Semi-automatic Framework for Quiz Generation Using a Hybrid Semantic Similarity Measure [0.03%]
基于混合语义相似度测度的半自动出题框架sherlock
Chenghua Lin,Dong Liu,Wei Pang et al.
Chenghua Lin et al.
In this paper, we present a semi-automatic system (Sherlock) for quiz generation using linked data and textual descriptions of RDF resources. Sherlock is distinguished from existing quiz generation systems in its generic framework for domai...
An Integrated Qualitative and Quantitative Biochemical Model Learning Framework Using Evolutionary Strategy and Simulated Annealing [0.03%]
一种基于进化策略和模拟退火的定性定量生化模型集成学习框架
Zujian Wu,Wei Pang,George M Coghill
Zujian Wu
Both qualitative and quantitative model learning frameworks for biochemical systems have been studied in computational systems biology. In this research, after introducing two forms of pre-defined component patterns to represent biochemical...
Michał Czubenko,Zdzisław Kowalczuk,Andrew Ordys
Michał Czubenko
The paper presents and discusses a system (xDriver) which uses an Intelligent System of Decision-making (ISD) for the task of car driving. The principal subject is the implementation, simulation and testing of the ISD system described earli...
Model of the Reticular Formation of the Brainstem Based on Glial-Neuronal Interactions [0.03%]
基于胶质细胞-神经元相互作用的脑干网状结构模型
Bernhard J Mitterauer
Bernhard J Mitterauer
A new model of the reticular formation of the brainstem is proposed. It refers to the neuronal and glial cell systems. Thus, it is biomimetically founded. The reticular formation generates modes of behavior (sleeping, eating, etc.) and comm...
Paul A Wilson,Barbara Lewandowska-Tomaszczyk
Paul A Wilson
If robots are to successfully interact with humans, they need to measure, quantify and respond to the emotions we produce. Similar to humans, the perceptual cue inputs to any modelling that allows this will be based on behavioural expressio...
Views from Within a Narrative: Evaluating Long-Term Human-Robot Interaction in a Naturalistic Environment Using Open-Ended Scenarios [0.03%]
基于自然环境的开放式情景长期人机交互评估——第一视角叙事观察研究
Dag Sverre Syrdal,Kerstin Dautenhahn,Kheng Lee Koay et al.
Dag Sverre Syrdal et al.
This article describes the prototyping of human-robot interactions in the University of Hertfordshire (UH) Robot House. Twelve participants took part in a long-term study in which they interacted with robots in the UH Robot House once a wee...
A Consensus-Based Grouping Algorithm for Multi-agent Cooperative Task Allocation with Complex Requirements [0.03%]
一种基于共识的分组算法用于多智能体合作任务分配（具有复杂要求）
Simon Hunt,Qinggang Meng,Chris Hinde et al.
Simon Hunt et al.
This paper looks at consensus algorithms for agent cooperation with unmanned aerial vehicles. The foundation is the consensus-based bundle algorithm, which is extended to allow multi-agent tasks requiring agents to cooperate in completing i...
Paul C Bressloff,Stephen Coombes
Paul C Bressloff
In this paper, we revisit the work of John G Taylor on neural 'bubble' dynamics in two-dimensional neural field models. This builds on original work of Amari in a one-dimensional setting and makes use of the fact that mathematical treatment...
Improved Convolutive and Under-Determined Blind Audio Source Separation with MRF Smoothing [0.03%]
基于MRF平滑的改进卷积欠定盲音频源分离方法研究
Rafał Zdunek
Rafał Zdunek
Convolutive and under-determined blind audio source separation from noisy recordings is a challenging problem. Several computational strategies have been proposed to address this problem. This study is concerned with several modifications t...