AFNIX is a multi-threaded functional writing system with dynamic symbol bindings that support the object oriented paradigm. It has a rich set of features providing runtime compatibility with C++. The engine runs on both 32- and 64-bit platforms, and it is designed to be portable across platforms.
The Artificial Knowledge Interface for Reasoning Applications (AKIRA) project aims to create a C++ development framework to build cognitive architectures and complex artificial intelligent agents featuring KQML, fuzzy logic, neural networks, fuzzy cognitive maps, and DIPRA. DIPRA is a distributed version of the BDI (Belief Desire Intention) goal oriented model.
AMOP is an automatic mock object for C++. By using ABI and template techniques, it can simulate a pseudo-"Reflection" which is normally not supported in C++. The main differences between AMOP and other mock object libraries is that users do not need to implement the interface of the object to be mocked.
ANTLR (ANother Tool for Language Recognition) is a language tool that provides a framework for constructing recognizers, compilers, and translators from grammatical descriptions containing C++, Java, or Sather actions. It is similar to the popular compiler generator YACC, however ANTLR is much more powerful and easy to use. ANTLR-produced parsers are not only highly efficient, but are both human-readable and human-debuggable (especially with the interactive ParseView debugging tool). ANTLR can generate parsers, lexers, and tree-parsers in either C++, Java, or Sather. ANTLR is currently written in Java.
AVL Array is an STL-like container for C++ that fills the gap between vector (or deque) and list, providing both fast random access and fast insertion/removal, all O(log n). This is not a map; in an avl_array, the "keys" always range from 0 to size-1, and they automatically change on insertion or removal. As a sequence container, like vector and list, it respects the order of elements.