Topic
Bio-inspired computing
About: Bio-inspired computing is a research topic. Over the lifetime, 321 publications have been published within this topic receiving 7124 citations. The topic is also known as: Biologically inspired algorithms.
Papers published on a yearly basis
Papers
TL;DR: This brief paper discusses computation and argues that these biologically inspired models do not extend the theoretical limits on computation, and suggests that, in practice, biological models may give more succinct representations of various problems.
Abstract: At first glance, biology and computer science are diametrically opposed sciences. Biology deals with carbon based life forms shaped by evolution and natural selection. Computer Science deals with electronic machines designed by engineers and guided by mathematical algorithms. In this brief paper, we review biologically inspired computing. We discuss several models of computation which have arisen from various biological studies. We show what these have in common, and conjecture how biology can still suggest answers and models for the next generation of computing problems. We discuss computation and argue that these biologically inspired models do not extend the theoretical limits on computation. We suggest that, in practice, biological models may give more succinct representations of various problems, and we mention a few cases in which biological models have proved useful. We also discuss the reciprocal impact of computer science on biology and cite a few significant contributions to biological science.
2 citations
TL;DR: The aim of this paper is to explore the AIS- based artificial intelligence approach and its impact on energy efficiency and examine, if AIS algorithms can be integrated within a Smart Air Conditioning System as well as analyse the impact of such a solution.
Abstract: Biologically inspired computing that looks to nature and biology for inspiration is a revolutionary change to our thinking about solving complex computational problems. It looks into nature and biology for inspiration rather than conventional approaches. The Human Immune System with its complex structure and the capability of performing pattern recognition, self-learning, immune-memory, generation of diversity, noise tolerance, variability, distributed detection and optimisation - is one area that has been of strong interest and inspiration for the last decade. An air conditioning system is one example where immune principles can be applied. This paper describes new computational technique called Artificial Immune System that is based on immune principles and refined for solving engineering problems. The presented system solution applies AIS algorithms to monitor environmental variables in order to determine how best to reach the desired temperature, learn usage patterns and predict usage needs. The aim of this paper is to explore the AIS- based artificial intelligence approach and its impact on energy efficiency. It will examine, if AIS algorithms can be integrated within a Smart Air Conditioning System as well as analyse the impact of such a solution.
2 citations
2 citations
1 May 2019
2 citations
TL;DR: This special issue of IEEE TRansactions on Nanobioscience provides a platform to collect the recent advancements in the field of BIC with the focus of models, algorithms, applications, and methods.
Abstract: Biological organisms develop and survive in nature solely relying on their adaptation and evolution capability. They encounter and resolve various challenging problems brought by the harsh environment. Computer scientists and researchers look at the phenomenon of problem-solving by adaption and evolution of biological organisms, subsequently, mimic, abstract, and theorize it to provide solutions to real-life science and engineering problems. Then, it becomes biologically inspired computing, i.e., bio-inspired computing (BIC). This special issue of IEEE TRansactions on Nanobioscience provides a platform to collect the recent advancements in the field of BIC with the focus of models, algorithms, applications, and methods. There were 15 initial submissions to this special issue. Eventually, six research articles are carefully selected.
2 citations
Related Topics (5)
Performance Metrics
| Year | Papers |
|---|---|
| 2021 | 10 |
| 2020 | 18 |
| 2019 | 10 |
| 2018 | 12 |
| 2017 | 27 |
| 2016 | 18 |