Nazmul Siddique,Hojjat Adeli
Nazmul Siddique
Nature-inspired meta-heuristic algorithms have dominated the scientific literature in the areas of machine learning and cognitive computing paradigm in the last three decades. Chemical reaction optimisation (CRO) is a population-based meta-...
An Investigation of the Dynamical Transitions in Harmonically Driven Random Networks of Firing-Rate Neurons [0.03%]
谐波驱动随机神经元网络中的动力学转变研究
Kyriacos Nikiforou,Pedro A M Mediano,Murray Shanahan
Kyriacos Nikiforou
Continuous-time recurrent neural networks are widely used as models of neural dynamics and also have applications in machine learning. But their dynamics are not yet well understood, especially when they are driven by external stimuli. In t...
A Hierarchical Predictive Coding Model of Object Recognition in Natural Images [0.03%]
自然图像中基于分层预测编码的对象识别模型
M W Spratling
M W Spratling
Predictive coding has been proposed as a model of the hierarchical perceptual inference process performed in the cortex. However, results demonstrating that predictive coding is capable of performing the complex inference required to recogn...
Pablo Gervás
Pablo Gervás
The plots of stories are known to follow general patterns in terms of their overall structure. This was the basic tenet of structuralist approaches to narratology. Vladimir Propp proposed a procedure for the generation of new tales based on...
Multilingual Sentiment Analysis: State of the Art and Independent Comparison of Techniques [0.03%]
多语言情感分析：现状和技术独立比较方法
Kia Dashtipour,Soujanya Poria,Amir Hussain et al.
Kia Dashtipour et al.
With the advent of Internet, people actively express their opinions about products, services, events, political parties, etc., in social media, blogs, and website comments. The amount of research work on sentiment analysis is growing explos...
Saliha Minhas,Amir Hussain
Saliha Minhas
Despite legislative attempts to curtail financial statement fraud, it continues unabated. This study makes a renewed attempt to aid in detecting this misconduct using linguistic analysis with data mining on narrative sections of annual repo...
Toward Self-Referential Autonomous Learning of Object and Situation Models [0.03%]
面向自指的自主学习物体和场景模型的方法研究
Florian Damerow,Andreas Knoblauch,Ursula Körner et al.
Florian Damerow et al.
Most current approaches to scene understanding lack the capability to adapt object and situation models to behavioral needs not anticipated by the human system designer. Here, we give a detailed description of a system architecture for self...
Kevin Warwick,Huma Shah
Kevin Warwick
In this paper we look at the phenomenon that is the Turing test. We consider how Turing originally introduced his imitation game and discuss what this means in a practical scenario. Due to its popular appeal we also look into different repr...
Hussein A Abbass,Eleni Petraki,Kathryn Merrick et al.
Hussein A Abbass et al.
This paper considers two emerging interdisciplinary, but related topics that are likely to create tipping points in advancing the engineering and science areas. Trusted Autonomy (TA) is a field of research that focuses on understanding and ...
Maria Teresa Llano,Simon Colton,Rose Hepworth et al.
Maria Teresa Llano et al.
The invention of fictional ideas (ideation) is often a central process in the creative production of artefacts such as poems, music and paintings, but has barely been studied in the computational creativity community. We present here a gene...