Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. Object-Action Complexes (OACs) are proposed as a universal representation enabling efficient planning and execution of purposeful action at all levels of a cognitive architecture (Kruger 2009, Worgotter 2008, Geib 2006, Piater 2009). OACs combine the representational and computational efficiency for purposes of search (the frame problem) of STRIPS rules and the object- and situation-oriented concept of affordance with the logical clarity of the event calculus. Affordance is the relation between a situation, usually including an object of a defined type, and the actions that it allows. While affordances have mostly been analyzed in their purely perceptual aspect, the OAC concept defines them more generally as state-transition functions suited to prediction. Such functions can be used for efficient forward-chaining planning, learning, and execution of actions represented simultaneously at multiple levels in an embodied agent architecture.
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