Publisher Summary This chapter discusses Answer Set Prolog, which is a language for
knowledge representation and reasoning based on the answer set/stable model semantics …

Answer Set Planning refers to the use of Answer Set Programming (ASP) to compute plans,
that is, solutions to planning problems, that transform a given state of the world to another …

ASP has been applied fruitfully to a wide range of areas in AI and in other fields, both in
academia and in industry, thanks to the expressive representation languages of ASP and …

Deep reinforcement learning has gathered much attention recently. Impressive results were
achieved in activities as diverse as autonomous driving, game playing, molecular …

Knowledge representation is at the very core of a radical idea for understanding intelligence.
Instead of trying to understand or build brains from the bottom up, its goal is to understand …

Deep reinforcement learning (DRL) has gained great success by learning directly from high-
dimensional sensory inputs, yet is notorious for the lack of interpretability. Interpretability of …

Knowledge representation and reasoning is the foundation of artificial intelligence,
declarative programming, and the design of knowledge-intensive software systems capable …

Disjunctive Logic Programming (DLP) is an advanced formalism for knowledge
representation and reasoning, which is very expressive in a precise mathematical sense: it …

Potassco: The Potsdam Answer Set Solving Collection Page 1 AI Communications 24 (2011)
107–124 107 DOI 10.3233/AIC-2011-0491 IOS Press Potassco: The Potsdam Answer Set …

Handbook of Knowledge Representation describes the essential foundations of Knowledge
Representation, which lies at the core of Artificial Intelligence (AI). The book provides an up …