Keith Frankish

[About the book]: This volume is a state-of-the-art survey of the psychology of reasoning, based around, and in tribute to, one of the field's most eminent figures: Jonathan St B.T. Evans.In this collection of cutting edge research, Evans' collaborators and colleagues review a wide range of important and developing areas of inquiry. These include biases in thinking, probabilistic and causal reasoning, people's use of 'if' sentences in arguments, the dual-process theory of thought, and the nature of human rationality. These foundational issues are examined from various angles and finally integrated in a concluding panoramic chapter written by Evans himself.The eighteen chapters, all written by leading international researchers, combine state-of the-art research with investigation into the most fundamental questions surrounding human mental life, such as:What is the architecture of the human mind?Are humans rational, and what is the nature of this rationality?How do we think hypothetically? The Science of Reason offer s a unique combination of breadth, depth and integrative vision, making it an indispensable resource for researchers and students of human reason

This chapter outlines a new argument for the view that language has a cognitive role. I suggest that humans exhibit two distinct kinds of belief state, one passively formed, the other actively formed. I argue that actively formed beliefs (_virtual beliefs_, as I call them) can be identified with _premising policies_, and that forming them typically involves certain linguistic operations. I conclude that natural language has at least a limited cognitive role in the formation and manipulation of virtual beliefs

It can be argued that dual-system theorists should adopt an action - based view of System 2 (S2), on which S2 reasoning is an intentional activity. It can also be argued that they should adopt a dual - attitude theory, on which the two systems have distinct sets of propositional attitudes. However, Peter Carruthers has argued that on the action-based view there are no S2 attitudes. This paper replies to Carruthers, proposing a view of S2 attitudes as virtual ones, which are partially realized in S1 attitudes. This view is compatible with, and a natural extension of, the action-based view.

This book deals with the nature of consciousness. Many philosophers and psychologists today believe that the mind is a physical phenomenon, whose processes can be explained in scientific terms. Consciousness presents the biggest challenge to this view. Can the physical sciences really explain the nature of conscious experience—the way it feels to have a throbbing headache, or see a sunset, or smell freshly ground coffee? Or is there more to these experiences than a physical account can ever capture? If consciousness is non-physical, then it is hard to see how it can have effects within the physical world. But if it is physical, then why does it seem so different from other physical phenomena? And what physical processes does it involve? Is the feel of a conscious experience just a matter of what it represents? Does consciousness involve a form of inner awareness? Finally, could it be that our view of consciousness is mistaken? Do we need to rethink some of our fundamental assumptions about it? These questions go to the heart of our conception of ourselves and our place in the universe, and are the subject of vigorous debate among contemporary philosophers

Artificial intelligence, or AI, is a cross-disciplinary approach to understanding, modeling, and creating intelligence of various forms. It is a critical branch of cognitive science, and its influence is increasingly being felt in other areas, including the humanities. AI applications are transforming the way we interact with each other and with our environment, and work in artificially modeling intelligence is offering new insights into the human mind and revealing new forms mentality can take. This volume of original essays presents the state of the art in AI, surveying the foundations of the discipline, major theories of mental architecture, the principal areas of research, and extensions of AI such as artificial life. With a focus on theory rather than technical and applied issues, the volume will be valuable not only to people working in AI, but also to those in other disciplines wanting an authoritative and up-to-date introduction to the field.