Motivational Representations within a Computational Cognitive Architecture

Abstract

This paper discusses essential motivational representations necessary for a comprehensive computational cognitive architecture. It hypothesizes the need for implicit drive representations, as well as explicit goal representations. Drive representations consist of primary drives -both low-level primary drives (concerned mostly with basic physiological needs) and high-level primary drives (concerned more with social needs), as well as derived (secondary) drives. On the basis of drives, explicit goals may be generated on the fly during an agent's interaction with various situations. These motivational representations help to make cognitive architectural models more comprehensive and provide deeper explanations of psychological processes. This work represents a step forward in making computational cognitive architectures better reflections of the human mind and all its motivational complexity and intricacy.

Psychologically realistic cognitive agents: taking human cognition seriously

“…This is because this framework is not psychologically detailed and realistic: For example, it does not capture important fine-grained details (processes and mechanisms) of human motivations and their relations to actions (see, e.g., Sun, 2009). As a result of the above, it has thus far no significant impact on cognitive science or psychology.…”

“…Control and regulation may be carried out through setting reinforcement (reward) functions for the ACS on the basis of drive activations (Sun, 2009). Control and regulation may also be in the forms of setting goals for the ACS, setting essential parameters of the ACS and the NACS, interrupting and changing on-going processes in the ACS and the NACS, and so on.…”

“…Control and regulation may also be in the forms of setting goals for the ACS, setting essential parameters of the ACS and the NACS, interrupting and changing on-going processes in the ACS and the NACS, and so on. Since these two subsystems are not essential to the exposition below, we will not go into further details of them here (but see Sun, 2009 for full details).…”

Computational Motivation, Autonomy and Trustworthiness: Can We Have It All?

“…More complex/expressive definitions exist, both in motivation theory [18] and in the literature of computational motivation [28,29,38,41,42]. Some of the latter are discussed later in this chapter, as well as Sects.…”

Robotic Ubiquitous Cognitive Ecology for Smart Homes

“…Therefore attempts have been made to combine symbolic manipulation and connectionism in hybrid architectures. ACT-R (Adaptive Components of Thought-Rational) [71,72] and CLAR-ION (The Connectionist Learning Adaptive Rule Induction ON-line) [73,74] are examples of hybrid network architectures.…”