James Olds. A successor to Obama's BRAIN Project supporting biologically-inspired AI?
By any measure, President Obama's BRAIN project was an example of a successful inter-agency science initiative that grew organically out of the community. Here we present lessons learned from making the BRAIN project from initial ideas prior to the election of 2008 up until I left the US government in 2018 to return to academia. The goal here is the grow the notion of doing something similar within the context of biologically-inspired AI design. The size of the investment (within the US) might be on the neighborhood of $3B over 10 years.

Lee Scheffler. Industrial Machine Diagnosis Using NeurOS.
The biologically inspired machinery of the NeurOS cognitive processing system is applied to industrial machine monitoring and fault diagnosis. Layers of generic reusable NeurOS set and sequence pattern modules encode raw vibration sensor data and fault patterns at axes, bearing, component, connection and whole machine levels of multiple machine types. Differential diagnoses produced at each level are aggregated up to overall machine health reporting. Lacking extensive labeled training data, input features are manually designed for high fault pattern discrimination, and fault patterns are ...

Philip Jackson. Metascience, Metacognition, and Human-Level AI.
Rosenbloom (2013) gives reasons why Computing should be considered as a fourth great domain of science, along with the Physical sciences, Life sciences, and Social sciences. This paper considers Metascience as the future, fifth great domain of science, and discusses reasons why metascience may be closely related to metacognition in human intelligence and human-level artificial intelligence.

Piotr Boltuc and Marta Izabela Boltuc. Deep-Learning-and Neuroscience Inspired Model for Semantic Translation.
Consider a paradoxical claim; maybe the problem with linguistics comes from its strong attachment to language, with its grammar and logical deep structure. There would not be much wrong with this picture, except that it does not cover enough ground. Processes developed in AI, such as deep computing algorithms, and by neuroscience, such as Damasio’s mind-maps, place much of human thinking beyond the language. The main communication may happen at the level of gestalts and images, while language statements are only simplified reports of what happens not the engine of thinking [Boltuc 2018]. ...

Howard Schneider. Subsymbolic versus Symbolic Data Flow in the Meaningful-Based Cognitive Architecture.
The biologically inspired Meaningful-Based Cognitive Architecture (MBCA) synergistically integrates the sensory processing abilities found in neural networks with many of the symbolic logical abilities found in human cognition. The basic unit of the MBCA is a reconfigurable Hopfield-like Network unit (HLN). A portion of the HLNs are configured for hierarchical sensory processing, others as causal memory (including holding of multiple world views), and others organized as logic/working memory units. The logic/working memory units can process both input vectors as well as data vectors from ...

David Kelley. Preliminary Analysis Results of Independent Core Observer Model Cognitive Architecture (ICOM) in a Mediated Artificial Super Intelligence (mASI) System.
This paper is focused on the preliminary results of using an Independent Core Observer Model Cognitive Architecture (ICOM) in a Mediated Artificial Super Intelligence (mASI) System. This reviews test results including objective and subjective analysis designed to determine if further research is warranted along this line. The comparative analysis includes comparisons to humans, human groups as measured for direct comparison. The overall study includes client application optimization in AI functions, AI contextual based input, intelligence comparative testing, other tests designed to look ...

Olga Chernavskaya and Yaroslav Rozhylo. On the role of surprises and paradoxes in the cognitive process modelling.
The role of unexpectedness (surprises) and paradoxes is considered within the Natural-Constructive Cognitive Architecture (NCCA) proposed and developed in previous works. It is shown that unexpect-edness, i.e., incorrect prognosis plays an important role in modeling the emotional reactions. It is shown that paradoxes, being treated as contradictions between different representations of the same natural phenomena, appear at the abstract (concept) level as a result of reduction of the raw-information input. The recognition paradoxes play a decisive role in perception of Art objects …

Aleksandr I. Panov. Hierarchical Behaviour Planning and Script Formation for Agents with Sign-based Worldview.
Reinforcement learning based on the idea to teach an agent to act optimally in an environment by scoring its action. It is difficult for an agent to receive a positive feedback in complex environments, where rewards assigned over big time intervals. For that kind environments a new approach called Hierarchical Reinforcement learning was introduced. A problem is divided into several parts and then each of them solved separately. Recently several models based on this approach were developed, most notorious of which is Option-Critic. To measure models' performance we made a completely new ...

Özge Nilay Yalçın. Short Bio.
Building from a background in Cognitive Science, Nilay’s PhD research focuses on the role of emotions and especially empathy in multi-modal human to machine communication. She uses an interdisciplinary approach that combines computer science methods with the theories of psychology, linguistics and sociology to understand and explore the mechanisms of human communication and dialog. Nilay is working to develop an Affective Intelligent Agent system which acts as an interactive assistant for language-based communication. She is investigating the social, emphatetic and affective behavior as ...

Catherine Carnovale. Round table discussion on Biologically Inspired Cognitive Architectures Special Issues.
The round table session would commence with an explanation of the new publication style of BICA (through Special Issues supported by Cognitive Systems Research), with Alexei Samsonovich to discuss the General Call for Papers to open in 2020. The aim of the session is to promote BICA Special Issues, encourage submissions, and open the discussion for future special issues proposals. The proposals should be debated by others on the panel, to provide a voice to “BICAns” on the direction of the research community as they move forward in 2020. Developing streams of research should be highlighted, as well as interesting topics which may be deserving as standalone special issues. To mark the 10th anniversary of the conference, we may pose the question of what themes and topics will be relevant in 10 years’ time? What breakthroughs do we predict to see at the 20th Annual Meeting of the BICA Society? The session will close with a discussion on the highlights of the BICA 2019 Special Issue from Rosario Sorbello, drawing focus to emerging themes and outstanding papers of note.

Taisuke Akimoto. Narratological Formulation of Story-form Memory Construction: Applying Genette’s Narrative Discourse Theory.
An episodic memory is generally defined as a memory that enables the recollection or remembering of past events or experiences. It is not assumed to be a copy of the past events themselves, but is mentally encoded or constructed information. However, the mechanism that constructs episodic memory has not been systematically formulated in previous studies regarding cognitive architectures and systems. In this study, the term “story” is used, rather than episodic memory, to refer to a mental representation of temporally and semantically organized events and entities. The key difference from ...

Umberto Maniscalco, Pietro Storniolo and Antonio Messina. An automatic system for learning and dialogue based on assertions.
When someone says a statement about a particular subject, humans, memorize the assertion, and implicitly, we can construct all the possible questions that have as a right answer to the assertion just heard. This means that subsist a learning process based on assertions. When we read a book, we do nothing but learn through a succession of assertions. In this article, we present a system for automatically constructing a conversational agent, which uses only assertions to build the dialog engine. The whole architecture is based on ROS and the experiments were conducted using a humanoid robot.

Ignazio Infantino and Alberto Machì. An assistive social robot interacting to establish a mutual affective support.
The paper describes an architecture for an assistive robot acting in a domestic environment aiming to establish a robust affective and emotional relationship with the patient during rehabilitation at home. The robot has the aim to support the patient in the therapy, to monitor the patient health state, to give affective support increasing the motivation of the human in a period of two or three weeks. The affective based relationship will arise from an interaction based on natural language verbal interaction, on the acquisition of data and vital parameters by environmental and wearable ...

Emanuel Diamant. The hype and the fallacies of the AI revolution.
It looks like the whole world has entered the AI race of our time. The Deep Learning Neural Nets approach is assigned as the winning horse of the run and the bets are being raised permanently. However, the whole issue is overhyped and the reasons for this are not always sincere and respectable. I try to persuade my friends and colleagues to change their minds, but, so far, unsuccessfully.

Vadim Gumenyuk, Eugene Chepin, Timofei Voznenko and Alexander Gridnev. Reconfigurable locomotion of hexapod robot based on inverse kinematics.
In our days, robotics develop dynamic and robots spread more than before. Only most of all robots presented by manufacturing robots, but robots that capable to move are also important. Hexapods are one of those kinds of robots. Today they widely known, but they don’t get good spread, even with their advantages, and frequently using to research purposes. One of the solving problems is that locomotion can be made by many different gaits. In the same way it is worth noting that hexapods have six legs, which lead to complexity of control algorithm, by necessary their permanently transferring ...

Olesya Malaschuk and Alexander Dyumin. Intelligent Multi-Agent Systems for Rescue Missions.
In the paper, approaches for building of a multi-agent intelligent system of unmanned drones and its usage in the rescue missions at the urban environment are described. In general, this task can be task can be considered as overlapping of the two main subtask - multi-agent simultaneous localization and mapping (SLAM) and the multi-agent search for the objects or places of interests. In the paper, existing solutions has been analyzed and actual areas of work has been revealed.

David McNeely-White, Ross Beveridge and Bruce Draper. Inception and ResNet Features are (Almost) Equivalent.
Deep convolutional neural networks (CNNs) are the dominant technology in computer vision today. Despite all the effort invested in developing sophisticated convolutional architectures, however, it’s not clear how different from each other the best CNNs really are. This paper measures the similarity between two well-known CNNs, Inception and ResNet, in terms of the properties they extract from images. We find that the properties extracted by Inception are very similar to the properties extracted by ResNet, in the sense that either feature set can be well approximated by an affine ...

Evgenii Vityaev. Consciousness as a logically consistent and prognostic model of reality.
The work demonstrates that brain might reflect the outer world causal relationships in the form of a logically consistent prognostic model of reality, which shows up as consciousness. The paper analyses and solves such problem of causal reflection of the outer world as a statistical ambiguity. A formal model of causal relationships is developed. We suppose that brain makes all possible inferences from causal relationships. We prove that the suggested formal model of causal relationships has a property of an unambiguous inference: from consistent premises we infer a consistent conclusions. It ...

Özge Nilay Yalçın and Steve Dipaola. Empathy Framework for Embodied Conversational Agents.
Empathy is a complex socio-emotional behavior that results from the interaction between affective and cognitive mechanisms. Equipping embodied conversational agents (ECAs) with empathic capacity can benefit from the integration and evaluation of these low and high level capabilities in a hierarchical manner. Following the theoretical background on empathic behavior in humans, this paper presents a framework to equip ECAs with real time multi-modal empathic interaction capabilities. We present the implementation of this framework which includes basic dialogue capabilities as well as three ...

Vanessa Utz and Steve DiPaola. Using a AI creativity system to explore how aesthetic experiences are processed along the brain’s perceptual neural pathways.
As the sophistication of AI systems has increased, their application has been expanding to ever newer fields. Increasingly, these systems are now being used in the area of modeling human aesthetics and creativity, such how humans create artworks and designed products. Our lab has developed using one such AI creativity deep learning system that can be used to create artworks in the form of still images and videos. In this paper, we describe this system and how we are currently using it to study the human visual system and the formation of aesthetic experiences. Traditionally, knowledge and ...

Saty Raghavachary. A VR-based system and architecture for computational modeling of minds.
Computational modeling of natural cognition is a crucial step towards achieving the grand goal of human-level computational intelligence. Successful ideas from existing models, and possibly newer ones, could be assembled to create a unified computational framework (eg. the Standard Model of the Mind, which attempts to unify three leading cognitive architectures) - this would be of great use in AI, robotics, neuroscience and cognitive science. This short position paper proposes the following: a VR-based system provides the most expedient, scalable and visually verifiable way to implement, ...

Meehae Song, Steve DiPaola and Steven Barnes. BioFlockVR: Applying neuro and biofeedback to drive experiential visuals in multi-immersant VR interactives.
This paper will present our multi-immersant bio-responsive virtual reality (VR) system that applies immersant 1’s real-time neurofeedback data to drive the breathing visuals for immersant 2 to explore how breathing affects heart rate and overall sympathetic nervous system. Immersant 2’s heart rate will further generate the bird flocking aesthetics in the VR to create a complete multi-layered virtual experience for immersant 2. Multiple layers of visuals generated and inspired by nature phenomena constantly evolves both immersants’ physiological states (i.e. EEG, heart rate, gestures), …

Arun Majumdar and John Sowa. Language, Virtual Reality, and the Embodied Mind.
Language, Virtual Reality, and Embodied Mind Arun K. Majumdar and John F. Sowa The semantics of language is based on perception and action. But relating language to perception and action requires a complex system that supports and coordinates body and mind. During the past century, cognitive scientists have been analyzing the mappings and developing theories and simulations (Sowa 1984). To implement those mappings, Majumdar and Sowa (2009) have been designing and implementing software based on conceptual graphs and related technology. Cognitive Memory (CM) has been a critical …

Sergio Castellanos, Luis-Felipe Rodríguez and J. Octavio Gutierrez-Garcia. A Mechanism for Biasing the Appraisal Process in Affective Agents.
In this paper we present a mechanism to model the influence of agents' internal and external factors on the emotional evaluation of stimuli in CMEs. We propose the modification of configurable appraisal dimensions (such as desirability and pleasure) based on influencing factors. As part of the presented mechanism, we introduce influencing models to define the relationship between a given influencing factor and a given set of configurable appraisal dimensions utilized in the emotional evaluation phase. Influencing models translate factor's influences (on the emotional evaluation) into a fuzzy ...

Artem Sukhobokov, Yuriy Gapanyuk and Valeriy Chernenkiy. Consciousness in AI systems.
The article considers the attention mechanism in neural networks and Meta Learning as basic elements for the realization of consciousness in AGI. The role of these elements in different classes of AI systems is shown - in Predictive Analytics Systems, Executive Analytics Systems, Reflexive Analytics Systems, and Target Analytics Systems. When systems of different (including all four) classes are present in one application, each class of systems has its own set of knowledge and its own methods for processing them. Some of this knowledge is used in the attention mechanisms, and this is ...

Yuichi Watanabe, Yasumasa Suda and Junichi Takeno. A Robot Science Approach to Simulating the Pathogenesis of Dissociative Identity Disorder.
Our research group has been studying dissociative identity disorder (DID) with a view to promoting further understanding of advanced mental disorders in humans. We constructed a conscious system using consciousness modules called MoNADs and have been attempting to reproduce dissociation symptoms. Previously, as we reported at the 2018 Annual International Conference on Biologically Inspired Cognitive Architectures (BICA 2018), we incorporated two types of units, a recording device (EXM) and a MoNAD filter value, into our conscious system and attempted to achieve highly reproducible ...

Sonia López, José-Antonio Cervantes, Salvador Cervantes, Jahaziel Molina and Francisco Cervantes. The Plausibility to Use Unmanned Aerial Vehicles as a Serious Game for Dealing with Attention Deficit-Hyperactivity Disorder.
Attention Deficit-Hyperactivity Disorder (ADHD) is considered a mental disease that affects an estimated 5% of the world’s youth population. Brain-Computer Interfaces (BCIs) such as Electroencephalograms (EEGs) and functional Magnetic Resonance Imaging (fMRI) have been used to study and treat this mental disease. This paper shows the plausibility to use Unmanned Aerial Vehicles (UAVs) as a serious game for therapeutic purposes through review the current state of UAVs and how they have been coupled to BCIs in order to control them through mental commands. Also, challenges and research ...

Raymundo Ramirez-Pedraza, Natividad Vargas, Carlos Sandoval, Félix Ramos and Juan Luis Del Valle-Padilla. A bioinspired model of decision making considering spatial attention for goal-driven behavior.
Cognitive architectures (CA) are used to improve human behavior. The goal of CA is to create computer systems that mimic how the human mind works. In the present work, we propose a computational model, which includes functions such as planning and decision-making, spatial attention, as well as, basic functions of the motor system. The proposed model describes the process of planning and decision-making to carry out the spatial navigation of an agent throughout an unknown and controlled environment. In this sense, the internal state of the agent, the imprecision of the world description, as ...

Artemiy Kotov, Nikita Arinkin, Liudmila Zaidelman and Anna Zinina. Speech Understanding System for Emotional Companion Robots.
Within the project of emotional robot F-2 we develop a natural text parser for automatic speech comprehension. It is aimed at the construction of semantic representation and the selection of "scripts" - units for inference modelling and the selection of emotional reactions for the robot. The design of the speech understanding system follows the traditional concept of linguistic levels: it consequently constructs morphological, syntactic and semantic representations. Unlike neural networks, these representations are readable for a developer, so the accumulated data is available for ...

Antonio Lieto, Federico Perrone, Gian Luca Pozzato and Eleonora Chiodino. Beyond Subgoaling: A Dynamic Knowledge Generation Framework for Creative Problem Solving in Cognitive Architectures.
In this paper we propose a computational framework aimed at extending the problem solving capabilities of cognitive artificial agents through the introduction of a novel, goal-directed, dynamic knowledge generation mechanism obtained via a non monotonic reasoning procedure. In particular, the proposed framework relies on the assumption that certain classes of problems cannot be solved by simply learning or injecting new external knowledge in the declarative memory of a cognitive artificial agent but, on the other hand, require a mechanism for the automatic and creative re-framing, or ...

Alexander Vandesompele, Gabriel Urbain, Francis Wyffels and Joni Dambre. Closed Loop Control of a Compliant Quadruped with Spiking Neural Networks.
Compliant robots can be more versatile than traditional robots, but their control is more complex. The dynamics of compliant bodies can however be turned into an advantage using the physical reservoir computing framework. By feeding sensor signals to the reservoir and extracting motor signals from the reservoir, closed loop robot control is possible. Here, we present a novel framework for implementing central pattern generators with spiking neural networks to obtain closed loop robot control. Using the FORCE learning paradigm, we train a reservoir of spiking neuron populations to act as a ...

Salvador Cervantes, Miguel De-la-Torre, José-Antonio Cervantes, Sonia López and Jorge Fuentes-Pacheco. Methodology for recognizing infants' facial expressions.
Despite the abundant literature on facial expression recognition, just a few works are dedicated to infants. Therefore, information and resources such as databases on infants' emotional expressions are limited, and most of the available databases restrict the validation of expression labeling to a few (or single) experts. Consequently, facial expression recognition methodologies rarely assume a properly validated dataset for evaluation. In this paper, a methodology for automatically recognizing infants' facial expressions is described. This methodology was validated using the City Infant ...

Ricardo Gudwin, Eric Rohmer, André Luis Paraense, Eduardo Fróes, Wandemberg Gibaut, Ian Oliveira, Sender Rocha, Klaus Raizer and Aneta Vulgarakis Feljan. A Cognitive Architecture for a Transportation Robotic System.
Autonomous mobile robots emerged as an important kind of transportation system in warehouses and factories. In this work, we present the use of MECA cognitive architecture in the development of an artificial mind for an autonomous robot responsible for multiple tasks, including transportation of packages along a factory floor, environment exploration, warehouse inventory, its internal energy management, self-monitoring and dealing with human operators and other robots. It is a work in progress, and we still have only preliminary results, but the architecture already has key elements to be ...

Howard Schneider. Schizophrenia and the Future of Artificial Intelligence.
In the Meaningful-Based Cognitive Architecture (MBCA) the input sensory vector is propagated through a hierarchy of Hopfield-like Network (HLN) functional groups, including a binding of sensory input group of HLNs and a causal group of HLNs, and subsymbolic processing of the input vector occurs in the process. However, the processed sensory input vector is also propagated to the logic/working memory groups of HLNs, where the content of the logic/working memory can be compared to data held by various groups of HLNs of other functional groups, as well as with other logic/working memory units, ...

Antonio Lieto. Antonio Lieto short bio.
I am a Researcher/Assistant Professor (RTDA) in Computer Science at the Department of Computer Science of the University of Turin (Italy) and a Research Associate at the ICAR-CNR Institute in Palermo (Italy), Cognitive Robotics and Social Sensing Lab. I do research in Artificial Intelligence and Computational Cognitive Science (with a focus on: Knowledge Representation and Reasoning, Semantic/Language Technologies, Cognitive Systems and Architectures). I am the current Vice-President of the Italian Association of Cognitive Sciences (AISC, 2017-2019) and Associate Editor for Cognitive ...

Jonathan-Hernando Rosales, Luis-Felipe Rodríguez and Félix Ramos. A General Theoretical Framework for the Design of Artificial Emotion Systems in Autonomous Agents.
Autonomous Agents (AAs) capable of exhibiting emotional behaviors have contributed to the development of natural human-machine interactions in several application domains. In order to provide AAs with emotional mechanisms, their underlying architecture must implement an Artificial Emotion System (AES), a computational model that imitates specific facets of human emotions. Although several AES have been reported in related literature, their design is generally supported on several emotion theories, leading researchers to model and integrate isolated emotion components and mechanisms into the ...

András Lőrincz. Towards mapping Cartesian factor learning to the neural substrate.
Previously, we have put forth the concept of Cartesian abstraction and argued that it can yield 'cognitive maps' [1]. We suggested a general mechanism and presented deep learning based numerical simulations: an observed factor (head direction cells) were non-linearly projected to form a discretized representation and that representation, in turn, enabled the development of a complementing factor (place cells) from high dimensional visual inputs. In a follow-up paper [2], we extended the above work by deriving the related metric; the oriented grid cells. We stipulated that the same algorithm ...

Shotaro Nimi and Junichi Takeno. Robot Science-based Consciousness Model for Major Depressive Disorder.
This study has focused on “mental disorder” as a functional disorder in human consciousness in the light of cognitive science and information science. Out of it, the authors examined “Depression” which is observed most frequently and of which cause is vague. The authors propose a consciousness model for “Major Depressive Disorder,” a representative disorder caused by depression. For construction of the consciousness model, “MoNAD,” a consciousness module, is adopted. Recently, not only in the field of philosophy or psychology but also in that of robotics and artificial ...

Larisa Ismailova, Sergey Kosikov, Konstantin Zinchenko and Viacheslav Wolfengagen. Environment of modeling methods for indicating objects based on displaced concepts.
The paper considers the problem of constructing domain models based on a semantic network. One of the faced difficulties is to support the indication of objects that form the semantic network, while displaying the dynamics of the domain; this indication assumes the possibility of dynamic creating, modifying, and deleting objects. In this case the indication of objects is possible both by name and by position in the semantic network, as well as by the set of properties of the object. It shows that the set of indication methods required for modeling essentially coincides with the set required ...

Michal Ptaszynski, Fumito Masui and Naoto Ishii. A method for automatic estimation of meaning ambiguity of emoticons based on their linguistic expressibility.
The ways of how people communicate on the Internet have adapted to the limited communication channel. Since the most meaning-rich while also concise and compressible mean of communication is still represented by textual information, Internet communication have adapted to support it with other information required for natural communication, while retaining the consistency of the medium. One of the means widely used by many generations of Internet users are the emoticons, used to express information that cannot be fully transmitted only by text, such as emotions or feelings. However, not all ...

Norifumi Watanabe and Kota Itoda. Simulation Analysis based on Behavioral Experiment of Cooperative Pattern Task.
We have a behavior experiment using pattern task abstracting cooperative behaviors that require intention estimation and action switching to specific goals. And we have analyzed strategies to adjust cooperative intention estimations. In this research, we constructed an agent model that have three strategies of "random selection", "self-priority selection", and "other agent's target pattern estimation". And the decision making process was verified by simulation.

Olivier Georgeon and Alexander Riegler. CASH Only: Constitutive Autonomy through Motorsensory Self-Programming.
Constitutive autonomy is the capacity of an entity to perpetually develop its individual constitution and coupling with its environment. We argue that computational entities (i.e., entities that can perform computation) can gain constitutive autonomy through motorsensory self-programming – a mechanism by which the entity acquires new computational processes as a series of patterns of interaction that the entity can learn through experience, simulate internally, and enact in the environment. Motorsensory self-programming allows the evolution of the cognitive coupling between the entity’s ...

Howard Schneider. Emergence of Belief Systems and the Future of Artificial Intelligence.
In the Meaningful-Based Cognitive Architecture (MBCA), every evaluation cycle the input sensory vector is propagated through a hierarchy of Hopfield-like Network (HLN) functional groups, and subsymbolic processing of the input vector occurs. The processed sensory input vector is also propagated to causal groups of HLNs and/or logic/working memory groups of HLNs, where it is matched against the vector from the MBCA’s intuitive and learned logic, physics, psychology and goal planning—collectively forming its world model or belief system. The output of the logic/working memory can be ...

Kirill Monankov, Nikolay Maksimov and Anastasia Gavrilkina. Cognitive Search Support Tools.
The scientific search process as a cognitive process of the subject area research is considered. Based on this approach the synthesis of new knowledge need an analysis of existing knowledge and this requires specialized resources containing previously accumulated knowledge on this topic and means of extracting knowledge from the resource. Extraction and comparison of meanings of natural language texts is difficult due to the variety of forms of sign representation and the lack of a single model of comparison of meanings. To solve this problem, in addition to the methods of extracting ...

David Kelley. Independent Core Observer Model Research Program Assumption Codex.
This document contains taxonomical assumptions, as well as the assumption theories and models used as the basis for all ICOM related research as well as key references to be used as the basis for and foundation of continued research as well as supporting any one that might attempt to find fault with our fundamentals in the hope that they do find flaw in or otherwise better inform the ICOM research program.

David Kelley, Amon Twyman and S. Mason Dambrot. Preliminary Mediated Artificial Superintelligence Study, Experimental Framework, and Definitions for an Independent Core Observer Model Cognitive Architecture-based System.
This preliminary study proposal is designed to gather and assess evidence of intelligence in an Independent Core Observer Model (ICOM)-based mediated Artificial Super Intelligence (mASI) system, or of the presence of a collective “Supermind” in such a system (Malone). A mediated system is one in which collective Artificial Intelligence beyond the human norm arises from the pooled activity of groups of humans whose judgment and decision making are integrated and augmented by a technological system in which they collectively participate. Our initial proposal is that an mASI system based on ...

David Kelley and Kyrtin Atreides. Human Brain Computer/Machine Interface System Feasibility study for Independent Core Observer Model based Artificial General Intelligence Collective Intelligence Systems.
This paper is primarily designed to help address the feasibility of building optimized mediation clients for the Independent Core Observer Model (ICOM) cognitive architecture for Artificial General Intelligence (AGI) mediated Artificial Super Intelligence (mASI) research program where this client is focused on collecting contextual information and the feasibility of various hardware methods for building that client on, including Brain Computer Interface (BCI), Augmented Reality (AR), Mobile and related technologies. The key criteria looked at is designing for the most optimized process for ...

Daria V. Tikhomirova, Arthur A. Chubarov and Alexei V. Samsonovich. Affective state dynamics in a social videogame paradigm.
Future artificial social-emotional intelligence must replicate the laws of dynamics of human affects in social interactions. A general theoretical model describing these laws needs to be constructed and validated through empirical study of social interactions under controlled conditions, building on available knowledge. With this meta-goal in mind, here a virtual-reality-based paradigm of the game Teleport was implemented and used to study social interactions of a human participant with two other players, each of which was either another human participant or a Virtual Actor: a believable ...

Jagna Nieuwazny, Michał Ptaszyński, Karol Nowakowski, Fumito Masui and Rafał Rzepka. How Religion and Morality Correlate in Age of Society 5.0: Statistical Analysis of Emotional and Moral Associations with Buddhist Religious Terms Appearing on Japanese Blogs.
In this paper we analyze how much religious vocabulary, in particular Buddhist vocabulary taken from the largest online dictionary of Buddhist terms, is present in everyday social space of Japanese people, particularly, in Japanese blog entries appearing on a popular blog service (Ameba blogs). We interpret the level of everyday usage of Buddhist terms as appearance of such terms in the consciousness of people. We further analyze what emotional and moral associations such contents generate. In particular, we analyze whether expressions containing Buddhist vocabulary are considered ...

Viacheslav Wolfengagen and Melanie Dohrn. On capturing the variability in the modeling of individual behavior.
When processing semantic information, there are difficulties in modeling the behavior of an individual with a variation in his behavior, which is accompanied by a change in its properties. This paper presents a semantic model that is able to take into account the effect of variation in behavior based on an individual-as-process representation. The problem of interaction between individuals who have differing intentions at some stage is considered, which is taken into account by attributing various properties to the information processes representing them. During the development of events at ...

Antonio Chella and Arianna Pipitone. A Cognitive Architecture for Inner Speech.
The talk discusses a cognitive architecture for inner speech developed at the RoboticsLab of the University of Palermo. The architecture is based on the Standard Model of Mind proposed by Laird et al. Briefly, the working memory of the architecture includes the phonological loop as a component for the storage of spoken and written information and for the implementation of the rehearsal process. The inner dialogue is modeled as a loop where the phonological store perceives the inner speech produced by the hidden articulator process. A central executive drives the whole system, and it …

Taisuke Akimoto. Story-Centric View on the Mind.
The basic assumption of the present study is that the essence of the human mind is to generate stories by interacting with environments, or to interact with environments by generating stories. In this context, a story refers to a mental representation of an individual’s subjective world including the past, present, future, and fiction. This assumption leads us to a consistent and plausible understanding of the human mind and realization of a human-like artificial intelligence. In this paper, I present an exploratory computer-oriented theory on the mind by ways of a story-centric view. The …

Daniele Schicchi, Giovanni Pilato and Giosue' Lo Bosco. DRAFT: A Recurrent Deep Neural Network for Measuring Syntax Complexity of English Text.
Text Simplification (TS) is a branch of Natural Language Processing field that aims at analyzing a text in order to generate a more easily understandable version that is appropriate to the skills of the reader. An important task related to the TS process is the evaluation of the text complexity in which the system has to own the needed knowledge for deciding if the complexity is already suitable for the reader or if the text needs to be simplified. In this paper we show the potentiality of our evaluation system based on Recurrent Neural Network. The main idea is to represent through parts- ...

Hedda R. Schmidtke. TextMap: a General Purpose Visualization System.
Human language is a versatile tool for communicating mental models between speakers of a language. This paper presents the TextMap system, a logic-based system for generating visuospatial representations from textual input. TextMap combines a minimalistic parser with a simple model counting mechanism to automatically extract coordinate information from propositional Horn-logic knowledge bases encoding spatial predications. The system is based on a biologically inspired low-level bit vector mechanism, the activation bit vector machine (ABVM). It does not require an ontology apart from a ...