Learning, Social Intelligence and the Turing Test - Why an "Out-of-the-Box" Turing Machine Will Not Pass the Turing Test

  title={Learning, Social Intelligence and the Turing Test - Why an "Out-of-the-Box" Turing Machine Will Not Pass the Turing Test},
  author={Bruce Edmonds and Carlos Gershenson},
The Turing Test checks for human intelligence, rather than any putative general intelligence. It involves repeated interaction requiring learning in the form of adaption to the human conversation partner. It is a macro-level post-hoc test in contrast to the definition of a Turing machine, which is a prior micro-level definition. This raises the question of whether learning is just another computational process, i.e., can be implemented as a Turing machine. Here we argue that learning or… 
Capturing the Implicit – an iterative approach to enculturing artificial agents
The paper proposes a process that bootstraps an incomplete formal functional understanding of human social interaction via an iterative approach using interaction with a native that relies on the fact that people are much better at noticing when dialogue is ”wrong” and in making alternate suggestions than theorising about social language use.
Natural Morphological Computation as Foundation of Learning to Learn in Humans, Other Living Organisms, and Intelligent Machines
It is proposed that one contribution can be understanding of the mechanisms of ‘learning to learn’, as a step towards deep learning with symbolic layer of computation/information processing in a framework linking connectionism with symbolism.
Emotional Disorders: “If you pinch him, he will squeak”. A new perspective on how machines can pass the Turing Test
  • Saríah López-Fierro
  • Psychology
    2020 7th International Conference on Behavioural and Social Computing (BESC)
  • 2020
A new perspective on Alan Turing's prediction: the ability of machines to imitate and deceive people is presented to open a new viewpoint on lines for helping people with depression and anxiety through modern technologies.
A Bibliography of Publications of Alan Mathison Turing
This bibliography records publications of Alan Mathison Turing (1912{ 1954). Title word cross-reference [Tur37a]. K [Tur37c]. p [Tur37c]. -conversion [Tur37c]. -de nability [Tur37a]. -function
Complexity and information: Measuring emergence, self-organization, and homeostasis at multiple scales
Information theory is used to provide abstract and concise measures of complexity, emergence, self-organization, and homeostasis to clarify the meaning of these concepts with the aid of the proposed formal measures.
Information and Computation
  • C. Gershenson
  • Biology, Computer Science
    Handbook of Human Computation
  • 2013
Two examples of human computation systems, online social networks and Wikipedia, are used to illustrate how these can be described and compared in terms of information and computation.


The Constructibility of Artificial Intelligence (as Defined by the Turing Test)
The argument that since the authors can pass the Turing Test, and their cognitive processes might be implemented as a Turing Machine, that consequently a TM that could pass the TT could be built, is attacked on the grounds that not all TMs are constructible in a planned way.
The Social Embedding of Intelligence
I claim that to pass the Turing Test over any period of extended time, it will be necessary to embed the entity into society. This chapter discusses why this is, and how it might be brought about. I
Subcognition and the Limits of the TuringTest
Alan Turing, in his original article' about an imitation-game definition of intelligence, seems to be making two separate claims. The first, the philosophical claim, is that if a machine could pass
Parsing the Turing Test: Philosophical and Methodological Issues in the Quest for the Thinking Computer
Distinguished psychologists, computer scientists, philosophers, and programmers from around the world debate these weighty issues and, in effect, the future of the human race in this important volume.
Computing Machinery and Intelligence
  • A. Turing
  • Philosophy
    The Philosophy of Artificial Intelligence
  • 1950
The question, “Can machines think?” is considered, and the question is replaced by another, which is closely related to it and is expressed in relatively unambiguous words.
Tractable cognition : complexity theory in cognitive psychology
  • I. Rooij
  • Psychology, Computer Science
  • 2003
The FPT-Cognition thesis is shown to provide a useful relaxation of the Tractable Cognition thesis and is proposed by the author and defines tractability as fixed-parameter tractability for some “small” input parameters.
Cognitive paradigms: which one is the best?
The Cultural Origins of Human Cognition
This work builds a bridge between evolutionary theory and cultural psychology. The author is one of very few people to have done systematic research on the cognitive capacities of both nonhuman
On computable numbers, with an application to the Entscheidungsproblem
  • A. Turing
  • Computer Science
    Proc. London Math. Soc.
  • 1937
This chapter discusses the application of the diagonal process of the universal computing machine, which automates the calculation of circle and circle-free numbers.
The second self: Computers and the human spirit
In The Second Self, Sherry Turkle looks at the computer not as a “tool,” but as part of our social and psychological lives; she looks beyond how we use computer games and spreadsheets to explore how