Online research in philosophy

A taped conversational interview with Daniel Dennett and Bill Uzgalis covers a wide range of topics arising from Dennett’s thoughts about computing and human beings. The background of Dennett’s work is explored as are his views about mind-brain identity theory, artificial intelligence, functionalism, human exceptionalism, animal culture, language, pain, freedom and determinism, and quality of life.

Professor Putnam's argument that future happenings are already real is clarified and examined. It is argued that, contrary to other claims in the literature, Putnam's premises are consistent, but that the field of the relation R on which he bases his conclusion is such that the conclusion does not in fact follow.

One of the most influential philosophical voices in the consciousness studies community is that of Daniel Dennett. Outside of consciousness studies, Dennett is well-known for his work on numerous topics, such as intentionality, artificial intelligence, free will, evolutionary theory, and the basis of religious experience. (Dennett, 1984, 1987, 1995c, 2005) In 1991, just as researchers and philosophers were beginning to turn more attention to the nature of consciousness, Dennett authored his Consciousness Explained. Consciousness Explained aimed to develop both a theory of consciousness and a powerful critique of the then mainstream view of the nature of consciousness, which Dennett called,.

Hilary Putnam has argued that computational functionalism cannot serve as a foundation for the study of the mind, as every ordinary open physical system implements every finite-state automaton. I argue that Putnam's argument fails, but that it points out the need for a better understanding of the bridge between the theory of computation and the theory of physical systems: the relation of implementation. It also raises questions about the class of automata that can serve as a basis for understanding the mind. I develop an account of implementation, linked to an appropriate class of automata, such that the requirement that a system implement a given automaton places a very strong constraint on the system. This clears the way for computation to play a central role in the analysis of mind.

Dennett and the philosophy of mind -- Adopting a stance -- Real patterns -- Different kinds of psychology -- Explaining consciousness : the basic account -- Explaining consciousness : developments, doubts, and the self -- Dennett's Darwin -- A variety of free will worth wanting.

There are two well-developed formalizations of discrete time dynamic systems that evidently share many concerns but suffer from a lack of mutual awareness. One formalization is classical systems and automata theory. The other is the logic of actions in which the situation and event calculi are the strongest representatives. Researchers in artificial intelligence are likely to be familiar with the latter but not the former. This is unfortunate, for systems and automata theory have much to offer by way of insight into problems raised in the logics of action. This paper is an outline of how the input-output view of systems and its associated solution of state realization may be applied to the formalization of dynamics that uses a situation calculus approach. In particular, because the latter usually admits incompletely specified dynamics, which induces a non-deterministic input-output system behavior, we first show that classical state realization can still be achieved if the behavior is causal. This is a novel systems-theoretic result. Then we proceed to indicate how situation calculi dynamic specifications can be understood in systems-theoretic terms, and how automata can be viewed as models of such specifications. As techniques for reasoning about automata are abundant, this will provide yet more tools for reasoning about actions.

Which comes first, realization or multiple realization? Hilary Putnam (1960) invoked the term ‘realization’ to refer to the relation that holds between physical devices and abstract computing machines, such as Turing machines or probabilistic automata. Putnam (1967) hypothesized that the relation between brain and mind is also realization. He contrasted his hypothesis—which he dubbed “functionalism”—with the competing hypotheses that mental states are to be identified with syndromes of behavior and behavioral dispositions, or that mental states are to be identified with brain processes. Instead, functionalism proposes that mental states are to be identified with functional states of whole organisms. Importantly, Putnam regards functionalism as an empirical hypothesis, and one whose explication appeals to some technical notions, particularly to the idea of a probabilistic automaton.