Principles of Synthetic Intelligence PSI: An Architecture of Motivated Cognition

Bach, Joscha

doi:10.1093/acprof:oso/9780195370676.001.0001

Cited by 101 publications

(115 citation statements)

References 151 publications

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“…The most widelyused cognitive architectures, ACT-R (Anderson, 2007) and Soar (Laird & Congdon, 2009), were originally designed to model problem solving and symbolic processing rather than adaptive mechanisms. It might thus appear more natural to use cognitive architectures that are designed to support implicit knowledge, for example CLARION (Sun, Peterson, & Merrill, 1999), MicroPsi (Bach, 2008), CLA (Chaput, 2004), ICARUS (Langley & Choi, 2006), or ADAPT (Benjamin, Lyons, & Lonsdale, 2004). These later architectures, however, already implement specific learning algorithms, and we found that only Soar offered enough flexibility for our research on a new learning algorithm.…”

Section: Methodsmentioning

confidence: 99%

An intrinsically-motivated schema mechanism to model and simulate emergent cognition

Georgeon¹,

Ritter²

2012

Cognitive Systems Research

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We introduce an approach to model and simulate the early mechanisms of emergent cognition based on theories of enactive cognition and on constructivist epistemology. The agent has intrinsic motivations implemented as inborn proclivities that drive the agent in a proactive way. Following these drives, the agent autonomously learns regularities afforded by the environment, and hierarchical sequences of behaviors adapted to these regularities. The agent represents its current situation in terms of perceived affordances that develop through the agent's experience. This situational representation works as an emerging situation awareness that is grounded in the agent's interaction with its environment and that in turn generates expectations and activates adapted behaviors.Through its activity and these aspects of behavior (behavioral proclivity, situation awareness, and hierarchical sequential learning), the agent starts to exhibit emergent sensibility, intrinsic motivation, and autonomous learning. Following theories of cognitive development, we argue that this initial autonomous mechanism provides a basis for implementing autonomously developing cognitive systems.

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Section: Methodsmentioning

confidence: 99%

An intrinsically-motivated schema mechanism to model and simulate emergent cognition

Georgeon¹,

Ritter²

2012

Cognitive Systems Research

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“…Here, we have projects aimed at simulating the human mind according to psychological theories, such as LIDA (Franklin, 2007) and MicroPsi (Bach, 2009), which surely need to simulate the self-related cognitive functions, simply because the well-known roles they play in human cognition (Blackmore, 2004).…”

Section: The Need For a Selfmentioning

confidence: 99%

Self in NARS, an AGI System

Wang

Hammer

2018

Front. Robot. AI

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This article describes and discusses the self-related mechanisms of a general-purpose intelligent system, NARS. This system is designed to be adaptive and to work with insufficient knowledge and resources. The system's various cognitive functions are uniformly carried out by a central reasoning-learning process following a "non-axiomatic" logic. This logic captures the regularities of human empirical reasoning, where all beliefs are revisable according to evidence, and the meaning of concepts are grounded in the system's experience. NARS perceives its internal environment basically in the same way as how it perceives its external environment although the sensors involved are completely different. Consequently, its self-knowledge is mostly acquired and constructive, while being incomplete and subjective. Similarly, self-control in NARS is realized using mental operations, which supplement and adjust the automatic inference control routine. It is argued that a general-purpose intelligent system needs the notion of a "self," and the related knowledge and functions are developed gradually according to the system's experience. Such a mechanism has been implemented in NARS in a preliminary form.

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“…Doerner [15] (see also Bach [5]) described the PSI theory, which included internal deficits, displeasure signals (due to deficits), negative reinforcement (from displeasure signals), urges, goals, action learning through random exploration (based on reinforcement), and so on. At an abstract level, the model is similar to Clarion to some extent [48,50], but it appears less psychologically grounded or validated.…”

Section: Previous Work On Intrinsic Human Motivationmentioning

confidence: 99%

Intrinsic Motivation for Truly Autonomous Agents

Sun

2018

Foundations of Trusted Autonomy

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Principles of Synthetic Intelligence PSI: An Architecture of Motivated Cognition

Cited by 101 publications

References 151 publications

An intrinsically-motivated schema mechanism to model and simulate emergent cognition

An intrinsically-motivated schema mechanism to model and simulate emergent cognition

Self in NARS, an AGI System

Intrinsic Motivation for Truly Autonomous Agents

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