Semantic Communication in Primates

2021 ◽  
pp. 100-114
Author(s):  
Klaus Zuberbühler
Keyword(s):  
Semantic Communication

Towards a Theory of Semantic Communication (Extended Technical Report)

2011 ◽  
Author(s):  
Jie Bao ◽  
Prithwish Basu ◽  
Mike Dean ◽  
Craig Partridge ◽  
Ananthram Swami ◽  
...  
Keyword(s):  
Technical Report ◽  
Semantic Communication

The Semantic Communication Game

2018 ◽  
Vol 4 (4) ◽  
pp. 787-802
Author(s):  
Basak Guler ◽  
Aylin Yener ◽  
Ananthram Swami
Keyword(s):  
Semantic Communication

scholarly journals Semantic Communication with Adaptive Universal Transformer

2021 ◽  
pp. 1-1
Author(s):  
Qingyang Zhou ◽  
Rongpeng Li ◽  
Zhifeng Zhao ◽  
Chenghui Peng ◽  
Honggang Zhang
Keyword(s):  
Semantic Communication

scholarly journals Caregivers Acceptance of Using Semantic Communication Boards for teaching Children with Complex Communication Needs

2021 ◽  
Author(s):  
Jayr A. Pereira ◽  
Jaylton A. Pereira ◽  
Robson do N. Fidalgo
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Visual Cues ◽  
Alternative Communication ◽  
Complex Communication Needs ◽  
Grammatical Class ◽  
Semantic Communication ◽  
Communication Needs ◽  
Acceptance Model ◽  
Communication Board

Alternative Communication Boards (ACB) are used to compensate for the difficulties faced by people with complex communication needs. These boards facilitate the construction of telegraphic phrases through visual cues, using colors and pictograms to represent the grammatical class and the meaning of the words, respectively. In this paper, we present the combination of three essential materials to construct a semantic ACB. In this context, a Semantic ACB is a communication board that uses a semantic script to guide the message authoring. The proposal was evaluated using the Technology Acceptance Model (TAM) as a basis. The results demonstrate that caregivers are more interested in a semantic ACB that is useful than in one that is easy to use.

scholarly journals Evidence for semantic communication in titi monkey alarm calls

2012 ◽  
Vol 84 (2) ◽  
pp. 405-411 ◽  
Author(s):  
Cristiane Cäsar ◽  
Richard W. Byrne ◽  
William Hoppitt ◽  
Robert J. Young ◽  
Klaus Zuberbühler
Keyword(s):  
Alarm Calls ◽  
Titi Monkey ◽  
Semantic Communication

Monkey responses to three different alarm calls: evidence of predator classification and semantic communication

Science ◽  
1980 ◽  
Vol 210 (4471) ◽  
pp. 801-803 ◽  
Author(s):  
R. Seyfarth ◽  
D. Cheney ◽  
P Marler
Keyword(s):  
Alarm Calls ◽  
Semantic Communication

scholarly journals The P–T Probability Framework for Semantic Communication, Falsification, Confirmation, and Bayesian Reasoning

Philosophies ◽  
2020 ◽  
Vol 5 (4) ◽  
pp. 25
Author(s):  
Chenguang Lu
Keyword(s):  
Statistical Learning ◽  
Semantic Information ◽  
Likelihood Function ◽  
Probabilistic Logic ◽  
Bayesian Reasoning ◽  
Logical Probability ◽  
Statistical Probability ◽  
Truth Function ◽  
Semantic Communication ◽  
Semantic Information Theory

Many researchers want to unify probability and logic by defining logical probability or probabilistic logic reasonably. This paper tries to unify statistics and logic so that we can use both statistical probability and logical probability at the same time. For this purpose, this paper proposes the P–T probability framework, which is assembled with Shannon’s statistical probability framework for communication, Kolmogorov’s probability axioms for logical probability, and Zadeh’s membership functions used as truth functions. Two kinds of probabilities are connected by an extended Bayes’ theorem, with which we can convert a likelihood function and a truth function from one to another. Hence, we can train truth functions (in logic) by sampling distributions (in statistics). This probability framework was developed in the author’s long-term studies on semantic information, statistical learning, and color vision. This paper first proposes the P–T probability framework and explains different probabilities in it by its applications to semantic information theory. Then, this framework and the semantic information methods are applied to statistical learning, statistical mechanics, hypothesis evaluation (including falsification), confirmation, and Bayesian reasoning. Theoretical applications illustrate the reasonability and practicability of this framework. This framework is helpful for interpretable AI. To interpret neural networks, we need further study.

Enabling Virtual Machines and Scatter/Gather I/O Using ShernCod

2012 ◽  
Vol 614-615 ◽  
pp. 1471-1476
Author(s):  
Xin Yao ◽  
Yuan Yuan Li ◽  
Ming Chun Wang
Keyword(s):  
Model Checking ◽  
Virtual Machines ◽  
Time Algorithm ◽  
Position Paper ◽  
Low Energy ◽  
Constant Time ◽  
Current Status ◽  
Suffix Trees ◽  
Flip Flop ◽  
Semantic Communication

Stable epistemologies and Internet QoS have garnered minimal interest from both cyberneticists and physicists in the last several years. Given the current status of semantic communication, scholars obviously desire the emulation of model checking. In this position paper, we concentrate our efforts on proving that suffix trees can be made homogeneous, scalable, and low-energy. Results showed that the well-known constant-time algorithm for the evaluation of DHCP is optimal, and ShernCod is no exception to that rule. Furthermore, our application successfully analyzed many flip-flop gates at once. This paper also disconfirmed not only that multi-processors and Smalltalk can collude to fulfill this objective, but that the same is true for model checking. Finally, this study provided evidences that the well-known pseudorandom algorithm for the improvement of 802.11b is in Co-NP.

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