Additions to the Bibliography on Mind and Consciousness
compiled by Piero Scaruffi
My book on Consciousness
| My essays
| Cognitive Science news
My seminar on Mind/Consciousness | My seminar on History of Knowledge
(Copyright © 2000 Piero Scaruffi | Legal restrictions )
Ageno Mario: LE ORIGINI DELL'UNIVERSO (Boringhieri, 1992)
Mario Ageno shows that Boltzmann's proof contains two errors: 1. Boltzmann's model of a gas represents a discrete set of molecules as a continuum of points; 2. Boltzmann assumes that the walls containing the closed system are perfectly reflecting. If these arbitrary assumptions are dropped, no rigorous proof for the irreversibility of natural processes exists.
Aggleton John: THE AMYGDALA (Wiley-Liss, 1992)
The book explores various neurobiological aspects of emotion and memory.
Aleksander Igor: IMPOSSIBLE MINDS (Imperial College Press, 1996)
Describes a computational model of consciousness that was implemented (as a neural state machine) at the Imperial College. Along the way, it briefly describes a little bit of philosophy of mind and a lot of behavioral psychology, relating them to his machine.
Allen James: NATURAL LANGUAGE UNDERSTANDING (Benjamin Cummings, 1995)
The new edition of one of the best textbooks on natural language processing, from basic parsing techniques to anaphora resolution, discourse structure to speech acts.
Allen James: READINGS IN PLANNING (Morgan Kaufmann, 1990)
Allen's temporal logic is based on a many-sorted predicate calculus with variables ranging over "properties", "time intervals", "events", etc. Temproal relations such as "during", "before", "overlap", "meets" and "equal" are primitive, are represented by predicates and are controlled by the axioms of the logic. An instant is defined as a very small interval. Properties hold at intervals.
Amari Shun-ichi & Freeman Walter: NEURAL NETWORKS AND CHAOS (Lawrence Erlbaum, 1994)
A collection of papers for a workshop on the subject.
Anderson James & Rosenfeld Edward: NEURO-COMPUTING (MIT Press, 1988)
Anderson James A.: NEURO-COMPUTING 2 (MIT Press, 1990)
Another set of historical articles, including seminal papers on Caianiello's neural equations, Wiener's cybernetics, Pribram's holographic model, Minsky's critique of perceptrons and Fodor's And Pylyshyn's "Connectionism and cognitive architecture" on the feasibility of a compositional theory.
Anderson John Robert: THE ARCHITECTURE OF COGNITION (Harvard Univ Press, 1983)
ACT, as developed in 1976, was a cognitive architecture capable of dealing with both declarative knowledge (represented by propositional networks) and procedural knowledge (represented by production rules). The production system worked as the interpreter of the propositional network.
Anderson John Robert: THE ADAPTIVE CHARACTER OF THOUGHT (Lawrence Erlbaum, 1990)
The book explores the cognitive architecture known as ACT, which broadens the principles of production systems.
Anderson John Robert: RULES OF THE MIND (Lawrence Erlbaum, 1993)
In this book Anderson looks for the psychological evidence of production systems (in particular in the area of acquisition of cognitive skills) and refines ACT into ACT-R, which includes a neural-network implementation of a production system. The book is structured as a set of articles by Anderson and others, and it includes simulation software.
Anderson James: AN INTRODUCTION TO NEURAL NETWORKS (MIT Press, 1995)
A very up-to-date 600-page survey of the mathematical foundations of neural networks that neatly organizes linear associators, perceptrons, gradient descent algorithms (ADALINE, back propagation), nearest neighbor models, Kanerva's sparse distributed memories, energy-based models (Hopfield model, Boltzmann machine), Kohonen's adaptive maps, the BSB model, etc. The sonar system of the bat is also reviewed.
Anderson Norman: A FUNCTIONAL THEORY OF COGNITION (Lawrence Erlbaum, 1996)
By applying the same principles over and over again, Anderson provides a unified theory of cognition founded on "general cognitive algebra".
John Andreae: ASSOCIATIVE LEARNING FOR A ROBOT INTELLIGENCE (Imperial College Press, 1998)
John Andreae's goal is to build robots that can learn like humans, have free will and eventually consciousness. His model is based on associative learning (that he proves is capable of learning a Universal Turing Machine), and the "intelligence" of the robot is basically a growing collection of associations.
Aoun Joseph: A GRAMMAR OF ANAPHORA (MIT Press, 1986)
Aoun deals with reciprocals and reflexives by proposing a generalized government-binding theory that leads to a structural unification of the notions of pronouns, empty categories and anaphors.
Arbib Michael: THE HANDBOOK OF BRAIN THEORY AND NEURAL NETWORKS (MIT Press, 1995)
Arbib Michael: METAPHORICAL BRAIN (Wiley, 1972)
This introduction to cybernetics begins with dividing simulation and emulation approaches to modeling intelligent behavior, i.e. artificial intelligence and neural networks. Then the book focuses on brain theory, considering the brain as a particular type of machine.
Arbib Michael: THE CONSTRUCTION OF REALITY (Cambridge University Press, 1986)
Arbib Michael: FROM SCHEMA THEORY TO LANGUAGE (Oxford Univ Press, 1987)
A theory of language based on Arbib's theory of schemas, with a practical implementation.
Arbib Michael: BRAINS MACHINES AND MATHEMATICS (Springer Verlag, 1987)
An introduction to some topics of cybernetics, neural networks, Turing machines, self-reproducing automata and to Godel's incompleteness theorem.
Arbib Michael: METAPHORICAL BRAIN 2 (Wiley, 1989)
The second volume greatly expands the contents of the first volume. Besides a little neuroanatomy, the focus is on mathematical analyses of neural phenomena from the perspective of action-oriented perception and in the light of Arbib's own theory of schemas. Schema theory is applied to the vision of the frog and high-level recognition, hand control and speech understanding. Along the way, mathematical models are offered to explain locomotion and eye movement; and all the main learning models (from perceptrons to the HEARSAY system, from Hopfield nets to Boltzmann machines, from backpropagation to the NETTALK system) are formally introduced.
Armstrong David-Malet: BELIEF, TRUTH AND KNOWLEDGE (Camrbidge University Press, 1973)
Beliefs are maps of the world (with the believer as central reference) by which the believer's actions are guided. Beliefs are states that have an internal structure: the content of the proposition believed. Beliefs may be reduced to the deep structures of Chomsky's linguistic theory. Beliefs often come in degrees: a partial belief is a degree of causal efficacy of the belief state in relation to action.
Armstrong David Malet: THE NATURE OF MIND (Cornell Univ Press, 1981)
A philosophical treaty on the dualism of the mind, which also presents Armostrong's causal theory of the mind. Mental states and physical states are identical (just like we perceive many natural phenomena without perceiving the corresponding microscopic physical processes) and a mental state is causally connected with a physical state. A state of the brain causes a mental state. Consciousness of a mental state is a perception of that mental state.
Armstrong, David Malet: THE MIND-BODY PROBLEM (Westview, 1999)
Ashby William: AN INTRODUCTION TO CYBERNETICS (Chapman & Hall, 1956)
In this book Ashby summarized a number of influential concepts. He placed emphasis on feedback, the process that allows for "homeostasis". Both machines and living beings tend to change to compensate variations in the environment, so that the combined system is stable. For living beings this translates into "adaptation" to the environment. The "functioning" of both living beings and machines depends on feedback processes. Ashby also emphasized the power of self-organizing systems, systems made of a very high number of simple units which can evolve autonomously and adapt to the environment by virtue of their structure.
Atkins, Peter-Williams: THE SECOND LAW (1984)
Ashtekar Abbay: CONCEPTUAL PROBLEMS OF QUANTUM GRAVITY (Birkhauser, 1991)
Ashtekar is a proponent of the loop-space theory of quantum gravity. To quantize gravity physicists only need to show that gravitational waves consist of quantum force-carrying particles, or gravitons. The perturbation methods that have been developed to this purpose (and which gave rise to the theory of superstrings, infinitesimal loops of energy whose wrigglings should generate particles and forces) have largely failed because gravitons, unlike other force carriers, alter the very geometry of space and time, which in turn affects their behavior; in other words, because of gravity's inherently self-referential, non-linear nature.
Austin John Langshaw: HOW TO DO THINGS WITH WORDS (Oxford Univ Press, 1962)
Austin handles language as a particular case of action, "speech action".
Austin John Langshaw: SENSE AND SENSIBILIA (Clarendon, 1962)
Austin criticizes the view that we cannot directly perceive material objects, but only sense-data.
Austin John Langshaw: PHILOSOPHICAL PAPERS (Clarendon, 1961)
A collection of all the philosophical papers of the philosopher famous for his theory of truth as grounded in historical situations: "a statement is true when the historic state of affairs to which it is correlated by the "demonstrative" conventions is of a type with which the sentence used in making it is correlated by the "descriptive" conventions. Descriptive conventions correlate sentences with types of situation. Demonstrative conventions correlate statements with historic situations.
|Home | The whole bibliography | My book on Consciousness|
(Copyright © 2000 Piero Scaruffi | Legal restrictions - Termini d'uso )