Here are the categories and category groups in the computer science arXiv listed with sample topics. Please use restraint when cross-listing new submissions.

The moderators for each category are listed in parentheses.

cs.** All Computer Science

cs.AI Artificial Intelligence (Erik Sandewall)

Expert systems, theorem proving, knowledge representation, planning, and uncertainty in AI. Roughly includes ACM Subject Classes I.2.0, I.2.1, I.2.3, I.2.4, I.2.8, and I.2.11.

cs.AR Architecture (Richard Muntz)

Systems organization and architecture. Roughly includes ACM Subject Classes C.0, C.1, and C.5.

cs.CC Computational Complexity (Lane Hemaspaandra)

Models of computation, complexity classes, structural complexity, complexity tradeoffs, upper and lower bounds. Roughly includes ACM Subject Classes F.1, F.2.3, and F.4.3. Some material in F.2.1 and F.2.2 may also be appropriate here, but is more likely to have Data Structures and Algorithms as the primary subject area. Some material in F.4.3 may have Logic in Computer Science as the primary subject area.

cs.CE Computational Science (Richard Muntz)

Use of computational methods in all areas of science (including computational biology and computational chemistry), engineering, and finance. Roughly includes material in ACM Subject Classes J.2, J.3, and J.4.

cs.CG Computational Geometry (Richard Muntz)

Roughly includes material in ACM Subject Classes I.3.5 and F.2.2.

cs.CL Computation and Language (Stuart M. Shieber)

Covers natural language processing. Roughly includes material in ACM Subject Class I.2.7.

cs.CR Cryptography and Security (Mihir Bellare)

Authentication, private and public key cryptosytems, proof-carrying code, etc. Roughly includes material in ACM Subject Classes D.4.6 and E.3.

cs.CV Computer Vision (Gio Wiederhold and Oscar Firschein)

Image processing, computer vision, pattern recognition, and scene understanding. Roughly includes material in ACM Subject Classes I.2.10, I.4, and I.5.

cs.CY Computers and Society (Lorrie Cranor)

Impact of computers on society, computer ethics, information technology and public policy, legal aspects of computing, computers and education. Roughly includes material in ACM Subject Classes K.0, K.2, K.3, K.4, K.5, and K.7.

cs.DB Databases (Jim Gray)

Database management, datamining, and data processing. Roughly includes material in ACM Subject Classes E.2, E.5, H.0, H.2, and J.1.

cs.DC Distributed Computing (Rajkumar Buyya and Tushar Chandra)

Fault-tolerance, distributed algorithms, stabilility, parallel computation, and cluster computing. Roughly includes material in ACM Subject Classes C.1.2, C.1.4, C.2.4, D.1.3, D.4.5, D.4.7, E.1.

cs.DL Digital Libraries (Michael Lesk)

All aspects of the digital library design and document and text creation. Roughly includes material in ACM Subject Classes H.3.5, H.3.6, H.3.7, I.7.

cs.DM Discrete Mathematics (Joe O'Rourke)

Combinatorics, graph theory, applications of probability. Roughly includes material in ACM Subject Classes G.2 and G.3.

cs.DS Data Structures and Algorithms (David Karger)

Data structures and analysis of algorithms. Roughly includes material in ACM Subject Classes E.1, E.2, F.2.1, and F.2.2.

cs.ET Emerging Technologies (Computer science advisory committee)

Approaches to information processing (computing, communication, sensing) and bio-chemical analysis based on alternatives to silicon technologies

cs.GL General Literature (Computer science advisory committee)

Introductory material, survey material, predictions of future trends, biographies, and miscellaneous computer-science related material. Roughly includes all of ACM Subject Class A, except conference proceedings.

cs.GR Graphics (Stephen Spencer, David Salesin)

Covers all aspects of computer graphics. Roughly includes material in ACM Subject Class I.3, except I.3.5

cs.FL Formal Languages and Automata Theory (Jeffrey Shallit)

Covers automata theory, formal language theory, grammars, and combinatorics on words. This roughly corresponds to ACM Subject Classes F.1.1, and F.4.3.

cs.GT Game Theory (Moshe Tennenholtz)

Mechanism design, learning in games, foundations of agent modeling in games, coordination, specification and formal methods for non-cooperative computational environments

cs.HC Human-Computer Interaction (Terry Winograd)

Human factors, user interfaces, and collaborative computing. Roughly includes material in ACM Subject Classes H.1.2 and H.5, except for H.5.1.

cs.IR Information Retrieval (Bruce Croft)

Indexing, dictionaries, retrieval, content and analysis. Roughly includes material in ACM Subject Classes H.3.0, H.3.1, H.3.2, H.3.3, and H.3.4.

cs.IT Information Theory (Madhu Sudan, Joachim Rosenthal)

Covers theoretical and experimental aspects of information theory and coding. Includes material in ACM Subject Class E.4 and intersects with H.1.1.

cs.LG Learning (Tom Dieterrich)

Machine learning and computational (PAC) learning. Roughly includes material in ACM Subject Class I.2.6.

cs.LO Logic in Computer Science (Richard Muntz)

Finite model theory, logics of programs, modal logic, and program verification. Roughly includes material in ACM Subject Classes D.2.4, F.3.1, F.4.0, F.4.1, and F.4.2.

cs.MA Multiagent Systems (Michael Huhns and Jose Vidal)

Multiagent systems, distributed artificial intelligence, intelligent agents, coordinated interactions. and practical applications. Roughly covers ACM Subject Class I.2.11.

cs.MM Multimedia (Richard Muntz)

Roughly includes material in ACM Subject Class H.5.1.

cs.MS Mathematical Software (Ron Boisvert)

Roughly includes material in ACM Subject Class G.4.

cs.NA Numerical Analysis (Richard Muntz)

Numerical algorithms for problems in analysis and algebra, scientific computation

cs.NE Neural and Evolutionary Computation (Jordan Pollack)

Neural networks, connectionism, genetic algorithms, artificial life, adaptive behavior. Roughly includes some material in ACM Subject Class C.1.3, I.2.6, I.5.

cs.NI Networking and Internet Architecture (Scott Shenker)

Network architecture and design, network protocols, internetwork standards (like TCP/IP), data caching. Roughly includes ACM Subject Class C.2, except C.2.4.

cs.OH Other (Computer science advisory committee)

This is the classification to use for documents that do not fit anywhere else.

cs.OS Operating Systems (William Waite)

Roughly includes material in ACM Subject Classes D.4.1, D.4.2., D.4.3, D.4.4, D.4.5, D.4.7, and D.4.9.

cs.PF Performance (Richard Muntz)

Performance measurement and evaluation, queueing, and simulation. Roughly includes material in ACM Subject Classes D.4.8 and K.6.2.

cs.PL Programming Languages (Nadathur Gopalan)

Programming language semantics, language features, programming approaches (such as object-oriented programming, functional programming, logic programming). Roughly includes material in ACM Subject Classes D.1 and D.3.

cs.RO Robotics (Bruce Donald)

Roughly includes material in ACM Subject Class I.2.9.

cs.SC Symbolic Computation (Rich Zippel)

Roughly includes material in ACM Subject Class I.1.

cs.SD Sound (Michael O'Donnell)

Models of sound, analysis and synthesis, audio user interfaces, sonification of data, computer music, and sound signal processing. Includes ACM Subject Class H.5.5, and intersects with H.1.2, H.5.1, H.5.2, I.2.7, I.5.4, I.6.3, J.5, K.4.2.

cs.SE Software Engineering (Peter Wegner)

Design tools, software metrics, testing and debugging, programming environments. Roughly includes material in ACM Subject Class D.2, except D.2.4.

cs.SI Social and Information Networks

Covers the design, analysis, and modeling of social and information networks, including their applications for on-line information access, communication, and interaction, and their roles as datasets in the exploration of questions in these and other domains, including connections to the social and biological sciences. Analysis and modeling of such networks includes topics in ACM Subject classes F.2, G.2, G.3, H.2, and I.2; applications in computing include topics in H.3, H.4, and H.5; and applications at the interface of computing and other disciplines include topics in J.1--J.7. Papers on computer communication systems and network protocols (e.g. TCP/IP) are generally a closer fit to the Networking and Internet Architecture (cs.NI) category.

cs.SY Systems and Control

This section includes theoretical and experimental research covering all facets of automatic control systems, having as focal point analysis and design methods using tools of modeling, simulation and optimization. Specific areas of research include nonlinear, distributed, adaptive, stochastic and robust control, hybrid and discrete event systems. Application areas include automotive, aerospace, process control, network control, biological systems, multiagent and cooperative control, sensor networks, control of cyberphysical and energy-related systems, control of computing systems.

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