Logicism has contributed greatly to progress in AI by emphasizing the central role of mental
content and representational vocabulary in intelligent systems. Unfortunately, the logicists' …

Much work in artificial intelligence has built on concepts and theories developed by
philosophers and logicians. This chapter introduces this foundational work, surveying …

Intended both as a text for advanced undergraduates and graduate students, and as a key
reference work for AI researchers and developers, Logical Foundations of Artificial …

This paper is a sustained argument for the view that logic-based AI should become a self-
contained field, entirely divorced from paradigms that are currently still included under the AI …

Is there an “essence of intelligence” that distinguishes intelligent systems from non-
intelligent systems? If there is, then what is it? This chapter suggests an answer to these …

If we think of artificial intelligence as being founded during the Dartmouth Conference of
1956, then it's fair to say that since this field of study began, Al researchers have debated the …

The objective of research in the foundations of AI is to explore such basic questions as: What
is a theory in AI? What are the most abstract assumptions underlying the competing visions …

Addressing the fundamental issues or principles underlying the task of Artificial Intelligence,
the editors have selected not only papers now recognized as classics but also many …

Philosophy has recently witnessed a radical critique of the epistemological tradition
centered on the notion of representation. It is here argued that such a critique is relevant to …

A complete revision of mainstream logic is an urgent task to be achieved. This revision will
be able to bring logic into a creative rapprochement with cognitive science. This can be …