Humans routinely generalize universal relationships to unfamiliar instances. If we are told “if
glork then frum,” and “glork,” we can infer “frum”; any name that serves as the subject of a …

Computational Architectures Integrating Neural and Symbolic Processes: A Perspective on
the State of the Art focuses on a currently emerging body of research. With the reemergence …

An introduction to a broad range of topics in deep learning, covering mathematical and
conceptual background, deep learning techniques used in industry, and research …

In Complexity and Postmodernism, Paul Cilliers explores the idea of complexity in the light
of contemporary perspectives from philosophy and science. Cilliers offers us a unique …

Presupposing no familiarity with the technical concepts of either philosophy or computing,
this clear introduction reviews the progress made in AI since the inception of the field in …

In this paper three problems for a connectionist account of language are considered 1. What
is the nature of linguistic representations? 2. How can complex structural relationships such …

Does knowledge of language consist of mentally-represented rules? Rumelhart and
McClelland have described a connectionist (parallel distributed processing) model of the …

A general method, the tensor product representation, is defined for the connectionist
representation of value/variable bindings. The technique is a formalization of the idea that a …

A set of hypotheses is formulated for a connectionist approach to cognitive modeling. These
hypotheses are shown to be incompatible with the hypotheses underlying traditional …

In The Algebraic Mind, Gary Marcus attempts to integrate two theories about how the mind
works, one that says that the mind is a computer-like manipulator of symbols, and another …