Towards computational models of animal cognition, an introduction for computer scientists 1
文献类型：期刊论文
| 作者 | Ma ZS1,2 |
| 刊名 | COGNITIVE SYSTEMS RESEARCH
 |
| 出版日期 | 2015 |
| 卷号 | 33期号:X页码:42-69 |
| 关键词 | Animal cognition Cognitive ecology Social learning Bioinspired computing and communication Behavioral informatics Computational behavior biology |
| 合作状况 | 其它 |
| 英文摘要 | The last few years of the twentieth century witnessed the emerging convergence of biology and computer science and this trend has been accelerating since then. The study of animal behavior or behavior biology has been one of the major contributors for this convergence. Behavior is fascinating because it is the response of an organism to internal and external signals and it is controlled by complex interactions among nerves, the sensory and the motor systems. To some extent, behavior is similar to the output (or response) of a computer system or a network node if we consider an animal brain as a computer node. This paper is the first in a two-part series in which I review the state-of-the-art research in behavior biology inspired computing and communication, with the first part focusing on animal cognition and the second part on animal communication (Ma, 2014). The present article also assumes the task of presenting a general introduction on behavior biology literature, which sets a foundation for synthesizing both parts of the series but the synthesis will be performed in the second part of the series. I sets three objectives in this 'cognition' part: (i) to present a brief overview on the literature of behavior biology for computer scientists; (ii) to summarize the state-of-the-art studies in several cognitive aspects of animal behavior: focusing on emerging research in cognitive ecology, social learning and innovation, as well as animal logics; (iii) to review some important existing studies inspired by animal behavior and further present a perspective on the future research. These cognition-related topics offer insights for research fields such as machine learning, human computer interactions (HCI), brain computer interfaces (BCIs), evolutionary computing, pervasive computing, etc. In perspective, I suggest that the interaction between behavioral biology and computer science should be bidirectional, and a new subject, behavioral informatics, or more general computational behavior biology, should be developed by the cooperative efforts between biologists and computer scientists. |
| 收录类别 | SCI |
| 语种 | 英语 |
| 公开日期 | 2015-05-08 |
| 源URL | [http://159.226.149.42:8088/handle/152453/8321]  |
| 专题 | 昆明动物研究所_计算生物与生物信息学 昆明动物研究所_遗传资源与进化国家重点实验室 |
| 作者单位 | 1.Computational Biology and Medical Ecology Lab, State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, PR China 2.Department of Computer Science, Institute of Bioinformatics and Evolutionary Studies, University of Idaho, Moscow, ID 83843, USA |
| 推荐引用方式 GB/T 7714 | Ma ZS. Towards computational models of animal cognition, an introduction for computer scientists 1[J]. COGNITIVE SYSTEMS RESEARCH,2015,33(X):42-69. |
| APA | Ma ZS.(2015).Towards computational models of animal cognition, an introduction for computer scientists 1.COGNITIVE SYSTEMS RESEARCH,33(X),42-69. |
| MLA | Ma ZS."Towards computational models of animal cognition, an introduction for computer scientists 1".COGNITIVE SYSTEMS RESEARCH 33.X(2015):42-69. |
入库方式： OAI收割
来源：昆明动物研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。