scholarly journals A Cognitive Map for an Artificial Agent

2009 ◽  
Author(s):  
Unmesh Kurup ◽  
B. Chandrasekaran
Keyword(s):  
Cognitive Map ◽  
Artificial Agent

Construction of a hippocampal cognitive map depends upon spatial context

2021 ◽  
Author(s):  
Wan-Chen Jiang ◽  
Shengjin Xu ◽  
Joshua Dudman
Keyword(s):  
Cognitive Map ◽  
Artificial Agent ◽  
Retrospective Evaluation ◽  
Behavioral Context ◽  
Common Structure ◽  
Spatial Features ◽  
Virtual Target ◽  
Context Specific ◽  
Spatial Trajectories ◽  
Ensemble Activity

Abstract The hippocampus encodes both spatial and non-spatial features of an environment thought to be critical to guide navigational trajectories and associative learning, respectively. These seemingly dichotomous roles have been reconciled in a proposed cognitive map - a representation of environment structure abstracted away from specific behavioral demands. However, the extent to which a cognitive map is independent of behavioral demands remains unclear because direct comparisons across environments with common structure but different spatial/behavioral context is lacking. Here we compare behaviors in mice trained to navigate to a hidden target in a physical arena and manipulate a joystick to a virtual target to collect a delayed reward. Comparison of behaviors with an artificial agent revealed a common algorithmic basis for learned foraging trajectories in both contexts. Imaging CA1 neural activity revealed a similar map-like encoding of active foraging; however, detailed analysis of ensemble activity, optogenetic inactivation, and modeling revealed a context-specific functional dissociation. In a navigational context, CA1 was critical for retrospective evaluation of spatial trajectories, but dispensable for initiation. In a non-navigational context, CA1 activity was critical for initiation and planning foraging trajectories. This work highlights how construction of a cognitive map to facilitate idiosyncratic behavioral demands7 is critical for foraging in diverse spatial contexts.

A Reader for the Cognitive Map

1994 ◽  
Author(s):  
Alliston K. Reid ◽  
John E. R. Staddon
Keyword(s):  
Cognitive Map

‘[T]his world is now thy pilgrimage’: William Michael Rossetti's Cognitive Maps of France and Italy

2018 ◽  
Vol 8 (1) ◽  
pp. 84-99
Author(s):  
Eleonora Sasso
Keyword(s):  
Cognitive Linguistics ◽  
Venice Lagoon ◽  
Cognitive Map ◽  
Reference Points ◽  
Late Nineteenth Century ◽  
Mental Picture ◽  
Historical Figures ◽  
Starting Point ◽  
Cognitive Semantic ◽  
St Helena

This paper takes as its starting point the conceptual metaphor ‘life is a journey’ as defined by Lakoff and Johnson (1980) in order to advance a new reading of William Michael Rossetti's Democratic Sonnets (1907). These political verses may be defined as cognitive-semantic poems, which attest to the centrality of travel in the creation of literary and artistic meaning. Rossetti's Democratic Sonnets is not only a political manifesto against tyranny and oppression, promoting the struggle for liberalism and democracy as embodied by historical figures such as Napoleon, Mazzini, Cavour, and Garibaldi; but it also reproduces Rossetti's real and imagined journeys throughout Europe in the late nineteenth century. This essay examines these references in light of the issues they raise, especially the poet as a traveller and the journey metaphor in poetry. But its central purpose is to re-read Democratic Sonnets as a cognitive map of Rossetti's mental picture of France and Italy. A cognitive map, first theorised by Edward Tolman in the 1940s, is a very personal representation of the environment that we all experience, serving to navigate unfamiliar territory, give direction, and recall information. In terms of cognitive linguistics, Rossetti is a figure whose path is determined by French and Italian landmarks (Paris, the island of St. Helena, the Alps, the Venice Lagoon, Mount Vesuvius, and so forth), which function as reference points for orientation and are tied to the historical events of the Italian Risorgimento. Through his sonnets, Rossetti attempts to build into his work the kind of poetic revolution and sense of history which may only be achieved through encounters with other cultures.

CIRCULAR ECONOMY STRATEGIES FOR ELECTRIC AND ELECTRONIC EQUIPMENT: A FUZZY COGNITIVE MAP

2017 ◽  
Vol 16 (8) ◽  
pp. 1807-1817 ◽  
Author(s):  
Fabiana Tornese ◽  
Maria Grazia Gnoni ◽  
Giorgio Mossa ◽  
Giovanni Mummolo ◽  
Rossella Verriello
Keyword(s):  
Circular Economy ◽  
Cognitive Map ◽  
Electronic Equipment ◽  
Fuzzy Cognitive Map

The orbitofrontal cartographer

2020 ◽  
Author(s):  
Matthew P H Gardner ◽  
Geoffrey Schoenbaum
Keyword(s):  
Orbitofrontal Cortex ◽  
Economic Value ◽  
Cognitive Map ◽  
Credit Assignment ◽  
General Consensus ◽  
Future Events ◽  
Causal Structures ◽  
Precise Content ◽  
Successes And Failures

Theories of orbitofrontal cortex (OFC) function have evolved substantially over the last few decades. There is now a general consensus that the OFC is important for predicting aspects of future events and for using these predictions to guide behavior. Yet the precise content of these predictions and the degree to which OFC contributes to agency contingent upon them has become contentious, with several plausible theories advocating different answers to these questions. In this review we will focus on three of these ideas - the economic value, credit assignment, and cognitive map hypotheses – describing both their successes and failures. We will propose that these failures hint at a more nuanced role for the OFC in supporting the proposed functions when an underlying model or map of the causal structures in the environment must be constructed or updated.

A preliminary fuzzy cognitive map - based desicion support tool for geriatric depression assessment

2013 ◽  
Author(s):  
Elpiniki I. Papageorgiou ◽  
Antonis S. Billis ◽  
Christos Frantzidis ◽  
Evdokimos I. Konstantinidis ◽  
Panagiotis D. Bamidis
Keyword(s):  
Cognitive Map ◽  
Fuzzy Cognitive Map ◽  
Geriatric Depression ◽  
Support Tool ◽  
Depression Assessment

Automated argument adjudication to solve ethical problems in multi-agent environments

2021 ◽  
Vol 12 (1) ◽  
pp. 310-335
Author(s):  
Selmer Bringsjord ◽  
Naveen Sundar Govindarajulu ◽  
Michael Giancola
Keyword(s):  
Ethical Problem ◽  
Propositional Content ◽  
Ethical Principles ◽  
Artificial Agents ◽  
Artificial Agent ◽  
Ethical Problems ◽  
Multi Agent

Abstract Suppose an artificial agent a adj {a}_{\text{adj}} , as time unfolds, (i) receives from multiple artificial agents (which may, in turn, themselves have received from yet other such agents…) propositional content, and (ii) must solve an ethical problem on the basis of what it has received. How should a adj {a}_{\text{adj}} adjudicate what it has received in order to produce such a solution? We consider an environment infused with logicist artificial agents a 1 , a 2 , … , a n {a}_{1},{a}_{2},\ldots ,{a}_{n} that sense and report their findings to “adjudicator” agents who must solve ethical problems. (Many if not most of these agents may be robots.) In such an environment, inconsistency is a virtual guarantee: a adj {a}_{\text{adj}} may, for instance, receive a report from a 1 {a}_{1} that proposition ϕ \phi holds, then from a 2 {a}_{2} that ¬ ϕ \neg \phi holds, and then from a 3 {a}_{3} that neither ϕ \phi nor ¬ ϕ \neg \phi should be believed, but rather ψ \psi instead, at some level of likelihood. We further assume that agents receiving such incompatible reports will nonetheless sometimes simply need, before long, to make decisions on the basis of these reports, in order to try to solve ethical problems. We provide a solution to such a quandary: AI capable of adjudicating competing reports from subsidiary agents through time, and delivering to humans a rational, ethically correct (relative to underlying ethical principles) recommendation based upon such adjudication. To illuminate our solution, we anchor it to a particular scenario.

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