May 23-25 2020,Changsha, China

Scope & Topics

TAMC 2020 aims at bringing together a wide range of researchers with interest in computational theory, information theory and applications. The main themes of the conference are computability, complexity, algorithms, information theory and their extensions to machine learning theory, and foundations of artificial intelligence.

Topics of interest include, but are not limited to, the following

• AI modeling
• algebraic computation
• algorithmic coding and number theory
• algorithmic graph theory and combinatorics
• algorithms and data structures
• approximation algorithms
• automata theory
• computational biology and biological computing
• computational complexity
• computational game theory
• computational geometry
• computer science logic
• continuous and real computation
• cryptography
• domain models
• dynamical algorithms
• foundations of artificial intelligence
• game theory
• information theoretical foundation for artificial intelligence
• learning theory, and intelligent computing
• model theory for computing
• network theory and communication networks
• online algorithms
• optimization
• parameterized algorithms
• privacy and security
• process models
• programming and verification
• property testing
• quantum computing
• randomized algorithms
• randomness and pseudo-randomness
• streaming algorithms
• structural information theory
• systems theory
• Turing definability
• VLSI models of computation

Paper Submission

The submission Web page for TAMC 2020 . Papers must be formatted using the LNCS style file without altering margins or the font point. The maximum length of the paper (including references, but excluding the optional appendix) is 12 pages. Proofs omitted due to space constraints must be placed in an appendix to be read by the program committee members at their discretion. Papers that deviate from these guidelines risk being rejected without consideration of their merits..

Submission Through via email: tamc2020@csu.edu.cn

Important Dates