Towards computational models of animal communications, an introduction for computer scientists
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:70-99 |
| 关键词 | Reliability of animal communication Animal communication network Handicap principle Eavesdropping Extended evolutionary game theory Signal honesty |
| 英文摘要 | Animals communicate with each other via varieties of signal modalities such as visual, acoustic, semiochemicals, gestural, or communication behavior. Although animal communication has been studied as a signaler-receiver dyadic system until recently, it is actually a complex network due to the ubiquitous existence of third-party receivers in their signaling space, such as eavesdroppers, bystanders, and audiences. A question of fundamental importance in both science and humanity is whether or not animal signals are honest or deceitful (i.e., communication reliability) since it may shed light on the study of trust and altruism in human beings. The objective of this paper is twofold. First, the state-of-the-art research in animal communication (dyadic paradigm) and animal communication networks (network paradigm) and their potential inspiration for secure, resilient and pervasive computing are reviewed. Secondly, by arguing that competition, cooperation and communication are the three fundamental elements that natural selection acts upon in the evolution of organisms, and by comparing the study of cooperation (such as formulated as the Prisoner's Dilemma (PD) game), with the study of animal communication (such as formulated with Sir Philip Sydney (SPS) game), it is suggested that the latter field may spawn important cross-disciplinary research with the potential influence similar to or beyond that generated by the PD game research. The paper also summarizes the recent extension to evolutionary game theory (EGT) with survival analysis and dynamic hybrid fault models by the author. Finally, seven open questions, with regard to animal communication inspired computing and communication, primarily from the interdisciplinary perspective are posed. As a side note, this is the second article of a two-part series in which I review the state-of-the-art research in behavior biology inspired computing and communication. Given the extensive scope of behavior biology, I only focus on two fields most relevant to computing and communication animal cognition (part one, Ma, 2014) and communication (this article). The previous part one reviewed animal-cognition inspired computing; part one also presented an overview of the behavior biology inspired computing. This part two is focused on animal communication; the relationship between cognition and communication is mainly discussed in this part also. |
| 收录类别 | SCI |
| 语种 | 英语 |
| 公开日期 | 2014-12-26 |
| 源URL | [http://159.226.149.42:8088/handle/152453/8202]  |
| 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 communications, an introduction for computer scientists[J]. COGNITIVE SYSTEMS RESEARCH,2015,33(X):70-99. |
| APA | Ma ZS.(2015).Towards computational models of animal communications, an introduction for computer scientists.COGNITIVE SYSTEMS RESEARCH,33(X),70-99. |
| MLA | Ma ZS."Towards computational models of animal communications, an introduction for computer scientists".COGNITIVE SYSTEMS RESEARCH 33.X(2015):70-99. |
入库方式： OAI收割
来源：昆明动物研究所
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