This paper explores the developing of how designers can search for inspiration source which provided in the form of traditional elements and archetypes and also their role on idea generation in design from building to urban measure. In order to clarify of this, current study focuses on the Far-East region as an ancient part of the world in which there is a huge number of symbols like well known...

This paper describes potential applications of Biologically Inspired Cognitive Architectures to Intelligence Analysis. The focus of our efforts is on higher level reasoning rather than low level perception. We will never have enough human analysts to read, filter and make sense of all the text data out there. Can some form of BICA help? In this paper we discuss issues related to knowledge acqui...

Biologically inspired design is one of the most important movements in contemporary engineering design. The paradigm entails the use of biological systems as sources of ideas for the design of technological products. Thus, the paradigm, by definition, is based on cross-domain analogies. The movement is pulled by the growing need for sustainable development and pushed by the desire for creative ...

Bio-Inspired Algorithms on Road Traffic Congestion and safety is a very promising research problem. Searching for an efficient optimization method to increase the degree of speed optimization and thereby increasing the traffic Flow in an unplanned zone is a widely concerning issue. However, there has been a limited research effort on the optimization of the lane usage with speed optimization. T...

In this article we present DUAL-PECCS, an integrated Knowledge Representation system aimed at extending artificial capabilities in tasks such as conceptual categorization. It relies on two different sorts of cognitively inspired common-sense reasoning: prototypical reasoning and exemplars-based reasoning. Furthermore, it is grounded on the theoretical tenets coming from the dual process theory ...

One single implementation of this agent is usable in any environment and for various practical tasks, with modifications only in its hardware interface, thanks to environmentally independent knowledge representation and general motivational mechanism inspired by a psychological ERG model of human motivation [1]. Convenient formalism for symbolic knowledge representation and reasoning is also ne...

Abstract Although the Temple Scroll’s divinely-commanded temple plan has frequently been described as “utopian,” there no sustained attempt to analyze scroll in light of other texts that have utopias/utopian, or connection with utopian studies. This article aims start conversation, considering what insights about purpose and function Scroll might be gained from approaching it a utopia. Such an ...

Biologically inspired robotics is a well known approach for the design of autonomous intelligent robot systems. Very often it is assumed that biologically inspired models successfully implemented on robots offer new scientific knowledge for biology too. In other words, robots experiments serving as a replacement for the biological system under investigation are assumed to provide new scientific...

We present a framework that we are currently developing, that allows one to extract knowledge from natural language sentences using a deep analysis technique based on linguistic dependencies. The extracted knowledge is represented in OOLOT, an intermediate format that we have introduced, inspired by the Language of Thought (LOT) and based on Answer Set Programming (ASP). OOLOT uses an ontologyo...