A Multi-level Model of Motivations and Valuations for Cognitive Agents (original) (raw)
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A psychoanalytically-inspired motivational and emotional system for autonomous agents
IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society, 2013
When developing autonomous agents, the problem of motivation poses one of the key questions. Following a bionic approach inspired by psychoanalysis, a multi-level motivational system to enable autonomous agents to pursue their own agenda and cope with their internal and external environment is presented. Considering embodiment, both homeostatic (extrinsic) and non-homeostatic (intrinsic) internal motivations are modeled. In particular, drives, which are represented on multiple levels, are modeled as the motivational element for agents' actions. Representing an additional level of motivations, emotions are integrated as a co-determinant of decision making.
Cognitive motivations and foundations for building intelligent decision-making systems
Artificial Intelligence Review, 2022
Concepts based on psychology fit well with current research trends related to robotics and artificial intelligence. Biology-inspired cognitive architectures are extremely useful in building agents and robots, and this is one of the most important challenges of modern science. Therefore, the widely viewed and far-reaching goal of systems research and engineering is virtual agents and autonomous robots that mimic human behavior in solving known and unknown problems. The article proposes, at a high level of generality, an operational cybernetic model of the human mind, developed with the use of carefully selected ideas taken from psychological knowledge. In particular, the work combines extensive knowledge drawn from both the theory of developmental cognitive psychology and the theory of motivation. The proposed mathematically developed operating blocks create a coherent and functional decision-making system containing all the elements necessary in autonomous robotics. The ISD system is under development. There is still a long way to go to full validation. However, as shown in several articles, the basic subsystems of the ISD system, i.e. motivational and emotional, have already been positively verified in operation. The overall purpose of this article is to show a blueprint of the overall concept of the entire ISD.
Intelligent Artificiality: A Brainware-compatible Economics of Mental Behavior
I build a brainware-compatible ‘modelling framework’ for the economics of mental behaviour – including perception, cognition in its many forms and the material pre-conditions for voluntary and involuntary action. ‘Modelling framework’ is in quotations to highlight a specific use of the word ‘model’ and its derivatives that will be developed herein, and which emphasizes purposive intervention and control as regulative goals, as opposed to description, explanation or representation. The resulting set of models make use of both the maximization- extremization protocols used by economists and ‘neuro-economists’ to derive behavioral predictions on the basis of agent-level ‘utility’, and the computational/symbolic representations of mental behavior used in artificial intelligence and cognitive science to represent mental states via symbolic structures, operations acting upon them and ‘cognitive problems’ and search processes. The new modelling framework is not an unfamiliar one. I use it ...
A "Society of Mind" Cognitive Architecture Based on the Principles of Artificial Economics
International Journal of Artificial Life Research, 2010
This research investigates the concept of mind as a control system using the “Society of Agents” metaphor, whereby the whole is described as the collective behavior of simple and intelligent agents. This powerful concept for mind research benefits from the use of metacognition, and eases the development of a self configurable computational model. A six tiered SMCA (Society of Mind Cognitive Architecture) control model is designed that relies on a society of agents operating using metrics associated with the principles of artificial economics in animal cognition. Qualities such as level of decision making, its cost function and utility behavior (the microeconomic level), physiological and goal oriented behavior are investigated. The research builds on current work, and shows the use of affect norms as metacontrol heuristics enables the computational model to adapt and learn in order to optimize its behavior.
Artificial Motivation for Cognitive Software Agents
Journal of Artificial General Intelligence
Natural selection has imbued biological agents with motivations moving them to act for survival and reproduction, as well as to learn so as to support both. Artificial agents also require motivations to act in a goal-directed manner and to learn appropriately into various memories. Here we present a biologically inspired motivation system, based on feelings (including emotions) integrated within the LIDA cognitive architecture at a fundamental level. This motivational system, operating within LIDA’s cognitive cycle, provides a repertoire of motivational capacities operating over a range of time scales of increasing complexity. These include alarms, appraisal mechanisms, appetence and aversion, and deliberation and planning.
Studies in computational intelligence, 2017
The article discusses, on a certain level of abstraction and generalization, a coherent anthropological approach to the issue of controlling autonomous robots or agents. A contemporary idea can be based on appropriate modeling of the human mind using the available psychological knowledge. One of the main reasons for developing such projects is the lack of available and effective top-down approaches resulting from the known research on autonomous robotics. On the other hand, there is no system that models human psychology sufficiently well for the purpose of constructing autonomous systems. Nevertheless, to combat this lack, several ideas have been proposed for embodying human intelligence. We review recent progress in our understanding of the mechanisms of cognitive computations underlying decision-making and discuss some of the pertinent challenges identified and implemented in several systemic solutions founded on cognitive ideas (like LIDA, CLARION, SOAR, MANIC, DUAL, OpenCog). In particular, we highlight the idea of an Intelligent System of Decision-making (ISD) based on the achievements of cognitive psychology (using the aspect of 'information path'), motivation theory (where the needs and emotions serve as the main drives, or motivations, in the mechanism of governing autonomous systems), and several other detailed theories, which concern memory, categorization, perception, and decision-making. In the ISD system, in particular, an xEmotion subsystem covers the psychological theories on emotions, including the appraisal, evolutionary and somatic theories.
2007 5th IEEE International Conference on Industrial Informatics, 2007
We use the psychoanalytical model of the psychical apparatus to define a unified coherent model for intelligent bionic systems. The terms intelligence, feelings and emotions are central topics within the fields of psychology, pedagogy and psychoanalysis. When engineers use these terms, they have to consider the concepts of those scientific fields. Our heterogeneous team joining engineers and psychoanalysts attempts to map Sigmund Freud's model of the "psychical apparatus" in combination with Luria's Dynamic Neuropsychology into a machine. Following up on the first paper of this forum which outlined the state-of-theart in Artificial Intelligence, this paper outlines the motivation of our new scientific step and describes visions and constraints we have encountered to date. Research results are presented in the following papers.
Nous, 2008
The Humean theory of motivation remains the default position in much of the contemporary literature in meta-ethics, moral psychology, and action theory. Yet despite its widespread support, the theory is implausible as a view about what motivates agents to act. More specifically, my reasons for dissatisfaction with the Humean theory stem from its incompatibility with what I take to be a compelling model of the role of motivating reasons in firstperson practical deliberation and third-person action explanations. So after first introducing some assumptions about the nature of agency in section one, I will turn to articulating and defending this account of motivating reasons in sections two through four of the paper. Section five then provides some background on the Humean theory before I argue directly against it in section six and critically examine the leading arguments for the view in section seven. Given limitations of space, however, I save the task of developing a positive anti-Humean view for another occasion.