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**************************************************

	TinyCog
	Minimalist Cognitive Architecture
	(c) 2015 Frank Bergmann (fraber@fraber.de)
	Licensed under GPL V3

**************************************************

About TinyCog
-------------

See http://tinycog.sourceforge.net/ for documentation.
TinyCog is designed as an easy to learn cognitive
architecture for academic use. It only consists of a few
thousand lines of code.


TinyCog License
---------------

All files are licensed under the GPL V3 unless otherwise
specified. Please contact the author for other licensing
terms. The GPL V3 explicitly disclaims any warranty for
the AI gone rogue :-)


TinyCog Training
----------------

Please contact fraber@fraber.de for remote classes and
other TinyCog related training material.


Getting Started
---------------

TinyCog is written in SWI-Prolog, so you have to install
SWI-Prolog V6.6 or higher from www.swi-prolog.org/download/.
On Windows just double-click on any of the *.pl files below.
Each file contains a test predicate that will display status
information.


TinyCog Modules
---------------

TinyCog consists of the following modules in order of
dependency from the most basic to the most advanced.

- auxil.pl:	Auxillary predicates.

- scene.pl:	Storage back-end for scenes and objects:
		Uses tuples similar to the SWI-Prolog
		implementation of OWL (semantic Web).

- dl.pl:	"TinyDL" Description Logics:
		Minimalist DL system based on the ideas
		of FLEX (successor of BACK). Uses scene.pl
		for it's TBox and ABox representation.

- hanoi_noplan.pl: Hanoi Towers test for dl.pl + scene.pl:
		Plays hanoi using a built-in planner
		(not the full-blown planner.dl).

- planner.pl:	Simple Deterministic Planner:
		Builds plans (linked scenes) based on the
		"actions" available for agents.

- hanoi_plan.pl: Hanoi Towers test for planner.pl:
		Defines a single "action" and simple
		proximity measure for hanoi towers.

- persgoals:	Persistent Goals for Agents:
		Defines a portfolio of goals for each
		agent that persist between actions and
		control the agent's behavior.

- hunter.pl:	HTML5 Test Bed with "Hunter" domain:
		Defines "deer" and "hunter" agents on a
		1000 x 1000 playing field in order to
		test multi-agent plan coordination.
Source: README, updated 2015-03-09