Psychologically realistic cognitive agents: taking human cognition seriously

Sun, Ron; Hélie, Sébastien

doi:10.1080/0952813x.2012.661236

Cited by 20 publications

(3 citation statements)

References 67 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…According to this "deep-correspondence" view, both tasks depend on a set of lower-level mechanisms, such as generalization (e.g., Shepard, 1987) and recollection (e.g., Rotello & Heit, 1999, 2000. Although there may be parametric differences between recognition and induction the same fundamental mechanisms are assumed to underlie both kinds of judgments (see Sun & Hélie, 2012, for a related argument).…”

Section: The Relationship Between Recognition and More Complex Forms mentioning

confidence: 99%

How similar are recognition memory and inductive reasoning?

Hayes

Heit

2013

Mem Cogn

View full text Add to dashboard Cite

Conventionally, memory and reasoning are seen as different types of cognitive activities driven by different processes. In two experiments, we challenged this view by examining the relationship between recognition memory and inductive reasoning involving multiple forms of similarity. A common study set (members of a conjunctive category) was followed by a test set containing old and new category members, as well as items that matched the study set on only one dimension. The study and test sets were presented under recognition or induction instructions. In Experiments 1 and 2, the inductive property being generalized was varied in order to direct attention to different dimensions of similarity. When there was no time pressure on decisions, patterns of positive responding were strongly affected by property type, indicating that different types of similarity were driving recognition and induction. By comparison, speeded judgments showed weaker property effects and could be explained by generalization based on overall similarity. An exemplar model, GEN-EX (GENeralization from EXamples), could account for both the induction and recognition data. These findings show that induction and recognition share core component processes, even when the tasks involve flexible forms of similarity.

show abstract

Section: The Relationship Between Recognition and More Complex Forms mentioning

confidence: 99%

How similar are recognition memory and inductive reasoning?

Hayes

Heit

2013

Mem Cogn

View full text Add to dashboard Cite

show abstract

“…As with non-classical computational models, hybrid architectures, such as CLAR-ION, are not fully developed (Sun & Helie 2012). Future AWS might indeed solve (at least approximately) the frame problem; perhaps even in one of the ways mentioned above.…”

Section: Solving the Frame And Representation Problemsmentioning

confidence: 99%

Autonomous Weapons Systems, the Frame Problem and Computer Security

Klincewicz

2015

Journal of Military Ethics

View full text Add to dashboard Cite

Unlike human soldiers, autonomous weapons systems (AWS) are unaffected by psychological factors that would cause them to act outside the chain of command. This is a compelling moral justification for their development and eventual deployment in war. To achieve this level of sophistication, the software that runs AWS will have to first solve two problems: the frame problem and the representation problem. Solutions to these problems will inevitably involve complex software. Complex software will create security risks and will make AWS critically vulnerable to hacking. I claim that the political and tactical consequences of hacked AWS far outweigh the purported advantages of AWS not being affected by psychological factors and always following orders. Therefore, one of the moral justifications for the deployment of AWS is undermined.

show abstract

“…On the other hand a vast range of cognitive experimental facts is taken into account while developing cognitive architectures such as ACT-R, SOAR, Clarion etc. Architectures claiming to demonstrate behavior which is close to behavior exhibited by humans in complicated situations (for example while human-robot interaction) should contain the module which implements psychologically inspired action planning [24]. Further, the knowledge representation method employed in a cognitive architecture plays very important role [13].…”

Section: Introductionmentioning

confidence: 99%

Psychologically Inspired Planning Method for Smart Relocation Task

Panov

Yakovlev

2016

Procedia Computer Science

View full text Add to dashboard Cite

Behavior planning is known to be one of the basic cognitive functions, which is essential for any cognitive architecture of any control system used in robotics. At the same time most of the widespread planning algorithms employed in those systems are developed using only approaches and models of Artificial Intelligence and don't take into account numerous results of cognitive experiments. As a result, there is a strong need for novel methods of behavior planning suitable for modern cognitive architectures aimed at robot control. One such method is presented in this work and is studied within a special class of navigation task called smart relocation task. The method is based on the hierarchical two-level model of abstraction and knowledge representation, e.g. symbolic and subsymbolic. On the symbolic level sign world model is used for knowledge representation and hierarchical planning algorithm, MAP, is utilized for planning. On the subsymbolic level the task of path planning is considered and solved as a graph search problem. Interaction between both planners is examined and inter-level interfaces and feedback loops are described. Preliminary experimental results are presented.

show abstract

Psychologically realistic cognitive agents: taking human cognition seriously

Cited by 20 publications

References 67 publications

How similar are recognition memory and inductive reasoning?

How similar are recognition memory and inductive reasoning?

Autonomous Weapons Systems, the Frame Problem and Computer Security

Psychologically Inspired Planning Method for Smart Relocation Task

Contact Info

Product

Resources

About