Case-dependence of Level-based Idea Space Variety for Systematic Biologically-Inspired Design

Biologically Inspired Models for Sensor Network Design

This paper discusses the purposes, requirements and challenges of creating pervasive networks of devices that have sensor technology and embedded computation. The demands placed on these sensor networks suggest that they have to function in a similar way to self-organised biological systems so concepts can be taken from them to design appropriate models for how sensor networks could work. This ...

Design principles for biologically inspired cognitive robotics

Rules for biologically inspired adaptive network design.

Transport networks are ubiquitous in both social and biological systems. Robust network performance involves a complex trade-off involving cost, transport efficiency, and fault tolerance. Biological networks have been honed by many cycles of evolutionary selection pressure and are likely to yield reasonable solutions to such combinatorial optimization problems. Furthermore, they develop without...

Knowledge Extraction and Annotation for Cross-Domain Textual Case-Based Reasoning in Biologically Inspired Design

Biologically inspired design (BID) is a methodology for designing technological systems by analogy to designs of biological systems. Given that knowledge of many biological systems is available mostly in the form of textual documents, the question becomes how can we extract design knowledge about biological systems from textual documents for potential use in designing engineering systems? In ea...

Design Approach of Biologically - Inspired Musculoskeletal

In order to realize more natural and various motions like humans, humanlike musculoskeletal tendon-driven humanoids have been studied. Especially, it is very challenging to design musculoskeletal body structure which consists of complicated bones, redundant powerful and flexible muscles, and large number of distributed sensors. In addition, it is very challenging to reveal humanlike intelligenc...