Artificial Brains and Hybrid Minds

The paper develops two related thought experiments exploring variations on an ‘animat’ theme. Animats are hybrid devices with both artificial and biological components. Traditionally, ‘components’ have been construed in concrete terms, as physical parts or constituent material structures. Many fascinating issues arise within this context of hybrid physical organization. However, within the context of functional/computational theories of mentality, demarcations based purely on material structure are unduly narrow. It is abstract functional structure which does the key work in characterizing the respective ‘components’ of thinking systems, while the ‘stuff’ of material implementation is of secondary importance. Thus the paper extends the received animat paradigm, and investigates some intriguing consequences of expanding the conception of bio-machine hybrids to include abstract functional and semantic structure. In particular, the thought experiments consider cases of mind-machine merger where there is no physical Brain-Machine Interface: indeed, the material human body and brain have been removed from the picture altogether. The first experiment illustrates some intrinsic theoretical difficulties in attempting to replicate the human mind in an alternative material medium, while the second reveals some deep conceptual problems in attempting to create a form of truly Artificial General Intelligence

Artificial Minds

This paper explores the artistic possibilities of artificial intelligence, as well as its ability to act as a creative being through its learned knowledge from the collective consciousness of human beings, whether this learned knowledge can be used by the AI to represent reality, and whether this can be problematic regarding learned biases from the preexisting ones of our own. Looking at the history of how far artificial intelligence has come within the creative artistic realm, examining the technical aspects of how exactly an AI is able to generate original art, and examining four artists that all collaborate with artificially intelligent computer system in very diverse and unique ways, whether through video art, physical pencil drawings, or GAN generated imagery to create original works of art, the paperinvestigates whether the resulting artworks can be considered creative productions, whether AI can be taught artistic skills, whether these artistic skills can be implemented in representations of reality, and whether the AI can potentially inherit human biases in the process

Designometry – Formalization of Artifacts and Methods

Two interconnected surveys are presented, one of artifacts and one of designometry. Artifacts are objects, which have an originator and do not exist in nature. Designometry is a new field of study, which aims to identify the originators of artifacts. The space of artifacts is described and also domains, which pursue designometry, yet currently doing so without collaboration or common methodologies. On this basis, synergies as well as a generic axiom and heuristics for the quest of the creators of artifacts are introduced. While designometry has various areas of applications, the research of methods to detect originators of artificial minds, which constitute a subgroup of artifacts, can be seen as particularly relevant and, in the case of malevolent artificial minds, as contribution to AI safety

Artificial intelligence as extended minds: why not?

Artificial intelligences and robots increasingly mimic human mental powers and intelligent behaviour. However, many authors claim that ascribing human mental powers to them is both conceptually mistaken and morally dangerous. This article defends the view that artificial intelligences can have human-like mental powers, by claiming that both human and artificial minds can be seen as extended minds \u2013 along the lines of Chalmers and Clark\u2019s view of mind and cognition. The main idea of this article is that the Extended Mind Model is independently plausible and can easily be extended to artificial intelligences, providing a solid base for concluding that artificial intelligences possess minds. This may warrant viewing them as morally responsible agents

Towards Avatars with Artificial Minds: Role of Semantic Memory

he first step towards creating avatars with human-like artificial minds is to give them human-like memory structures with an access to general knowledge about the world. This type of knowledge is stored in semantic memory. Although many approaches to modeling of semantic memories have been proposed they are not very useful in real life applications because they lack knowledge comparable to the common sense that humans have, and they cannot be implemented in a computationally efficient way. The most drastic simplification of semantic memory leading to the simplest knowledge representation that is sufficient for many applications is based on the Concept Description Vectors (CDVs) that store, for each concept, an information whether a given property is applicable to this concept or not. Unfortunately even such simple information about real objects or concepts is not available. Experiments with automatic creation of concept description vectors from various sources, including ontologies, dictionaries, encyclopedias and unstructured text sources are described. Haptek-based talking head that has an access to this memory has been created as an example of a humanized interface (HIT) that can interact with web pages and exchange information in a natural way. A few examples of applications of an avatar with semantic memory are given, including the twenty questions game and automatic creation of word puzzles

On Minds' Localization

A confluence of clues from a range of academic topics suggests that minds localization in nature consists of relativistically moving microphysical particles, whose motion is physiologically modulated. Here those clues are shown to imply that the localization of the operations of observers (minds or existentialities) in nature are the actions carriers of a force field, which action carriers are slightly slowed from near-c speed motion by electroneurobiological variations in brain physiology – thus gating through relativistic time dilation the observer’s time resolution and putting her or him in operative connection or disconnection with the cerebral representation of the surrounding occurrences. In this scenario, minds as well as sensory knowledge acquire a precise definition and appear situated in a particular point of causal sequences. Summary in general terms: Why were minds selected to turn accidents into opportunities, i. e., to progress toward biological goals through appropriate steps for which the instructions are nonetheless undefinable? Minds appear situated in certain force-carrying particles whose speed sets wakefulness or sleep. Through this force, observable by its influence on the evolutionary process, minds and bodies interact. Physical actions impinging on a mind generate in it physical reactions whose causal efficiency gets exhausted, so that the reactions cannot continue their causal series. In exchange, they become sensorially known. On them the mind then takes efficient initiatives – whereby minds acquire intellectual development – generating changes. The broken causal sequence seems to be what enables minds for their biological role. Summary in technical terms: Observers’ localization in nature might be relativistically moving particles whose motion is physiologically modulated. Transdisciplinary clues imply that speed variation is imposed onto some action carriers of a force field by their coupling with intensity variations of an overlapping field. The operations of observers (minds or existentialities) in nature seem localized in such actions carriers, slightly slowed from near-c speed motion by electroneurobiological variations – which thus gate the observer’s time resolution and put her or him in operative connection or disconnection with the surroundings. Thereby minds and sensory knowledge appear in a particular point of causal sequences. ---------------- Keywords: Piaget causality mental causation evolution volition free-will pleasure/pain awareness self-consciousness evolution attention genetic epistemology gnoseology philosophical anthropology cerebral biophysics brain- mind relationships cadacualtez cadacualtic cilia ciliary cellular cognition electroneurodynamics engram epistemology memory mind-brain mind definition memoria nervous system evolution neural networks neurobiology cognitive neuroscience neuropsychiatry noergy nous-poietikos ontology consciousness paleontology person philosophy Precambrian psychopathology psychology psychism psychiatry recall special-relativity semovience sleep-biophysics shock soul time perception interval transform ultrahistory schizophrenia Turing machines vegetative artificial-lif

Artificial minds with consciousness and common sense aspects

The research work presented in this article investigates and explains the conceptual mechanisms of consciousness and common-sense thinking of animates. These mechanisms are computationally simulated on artificial agents as strategic rules to analyze and compare the performance of agents in critical and dynamic environments. Awareness and attention to specific parameters that affect the performance of agents specify the consciousness level in agents. Common sense is a set of beliefs that are accepted to be true among a group of agents that are engaged in a common purpose, with or without self-experience. The common sense agents are a kind of conscious agents that are given with few common sense assumptions. The so-created environment has attackers with dependency on agents in the survival-food chain. These attackers create a threat mental state in agents that can affect their conscious and common sense behaviors. The agents are built with a multi-layer cognitive architecture COCOCA (Consciousness and Common sense Cognitive Architecture) with five columns and six layers of cognitive processing of each precept of an agent. The conscious agents self-learn strategies for threat management and energy level maintenance. Experimentation conducted in this research work demonstrates animate-level intelligence in their problem-solving capabilities, decision making and reasoning in critical situations