Utilizing the well-known Ultimatum Game, this note presents the following phenomenon. If we start with simple stimulus-response agents, learning through naive reinforcement, and then grant them some introspective capabilities, we get outcomes that are not closer but farther away from the fully introspective game-theoretic approach. The cause of this is the following: there is an asymmetry in th...

The Utility Problem for Lazy Learners Towards a Non-eager Approach p. 141 EGAL: Exploration Guided Active Learning for TCBR p. 156 Introspective Knowledge Revision in Textual Case-Based Reasoning p. 171 A General Introspective Reasoning Approach to Web Search for Case Adaptation p. 186 Detecting Change via Competence Model p. 201 CBTV: Visualising Case Bases for Similarity Measure Design and Se...

This paper reports on a quite large experience in implementing a procedurally introspective system (PIS), ALICE, in which a well known problem is faced: the integration between LISP and Horn clauses. This exercise is motivated by a recognized lack of experience in implementing PISs to deal with actual A.I. programming problems. ALICE is composed of two procedurally introspective languages based...

The default-mode network (DMN) of the brain shows highly coherent intrinsic activity in healthy subjects and is implicated in self-referential processing important for social cognitive functioning. Schizophrenia patients show abnormal resting-state connectivity within the DMN and this aberrant connectivity is thought to contribute to difficulties in self-referential and introspective processing...

We propose introspective convolutional networks (ICN) that emphasize the importance of having convolutional neural networks empowered with generative capabilities. We employ a reclassification-by-synthesis algorithm to perform training using a formulation stemmed from the Bayes theory. Our ICN tries to iteratively: (1) synthesize pseudo-negative samples; and (2) enhance itself by improving the ...

Self-awareness is an aspect of consciousness that is highly developed in humans in comparison with other animals. A human being unaware of his or her personal characteristics, of what he or she knows and doesn’t know, can do and cannot do, wants and doesn’t want, has experienced and is experiencing, etc., would surely be difficult to communicate with naturally. Therefore we believe that conscio...

The measurement conundrum seems to have plagued quantum mechanics for so long that impressions of an inconsistency amongst its axioms have spawned. A demonstration that such purported inconsistency is fictitious may then be in order and is presented here. An exclusion principle of sorts emerges, stating that quantum mechanics cannot be simultaneously linear and introspective (self-observing). D...

We propose introspective convolutional networks (ICN) that emphasize the importance of having convolutional neural networks empowered with generative capabilities. We employ a reclassification-by-synthesis algorithm to perform training using a formulation stemmed from the Bayes theory. Our ICN tries to iteratively: (1) synthesize pseudo-negative samples; and (2) enhance itself by improving the ...