Bionically inspired information representation module

Zeilinger, Heimo; Perner, Andreas; Kohlhauser, Stefan

doi:10.1109/hsi.2010.5514490

Cited by 8 publications

(6 citation statements)

References 12 publications

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“…This agent could theoretically eat cakes as well as other agents; rocks are not edible. This situation is described by Use case 0 (see [7], [6]). By adding/removing Superego rules which specify that one should not eat agents of ones own species, the agent of interest should show two behaviors: with the rules activated only cakes should be eaten, without the rules other agents are possible prey too.…”

Section: Modelmentioning

confidence: 99%

“…The above mentioned AGI-Framework ARS and it's current implementation ARSi10 [6] is developed by transferring psychoanalytical theory into technical feasible concepts. Based upon the second topographical model of the psychoanalytical metapsychology, every functional module is assigned to one of the three main agencies: Id, Ego, and Super-Ego.…”

Section: Modelmentioning

confidence: 99%

“…A novel concept is to use the theoretical background of psychoanalysis as foundation [5]. The resulting model is described in depth in [6]- [8] and a brief overview is given in Section IV.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Cognitive decision unit applied to autonomous biped robot NAO

Deutsch

Muchitsch

Zeilinger

et al. 2011

2011 9th IEEE International Conference on Industrial Informatics

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The novel approach to use meta-psychology-the theoretic foundation of psychoanalysis-as archetype for a decision making framework for autonomous agents was realized in simulations recently. In addition, multiple studies showed the capability of a robot to sense and interact in its environment. This work fills the gap between sensing, environmental interaction and decision making by grounding these topics with an agents internal needs using the concepts of meta-psychology. The bodies of typical agents are equipped with internal systems which can generate bodily needs-for example the urgent need for food. As proof-of-concept we implemented this concept on a simulated agent as well as on a physical real humanoid biped robot to additionally proof the concept within a fully controlled simulated environment. The use of the common humanoid robot platform NAO, which has 25 degrees of freedom and biped locomotion, enforced us to deal with complex situations and disturbed sensor readings. NAO provides various internal sensors like engine temperature or battery level as well as external sensors like sonar or cameras. An implemented visual marker detecting system allowed us to detect objects in the surrounding environmental, representing food or energy sources. We show, how it is possible to use the psychoanalytically inspired framework ARS to control a real world application, the robot NAO.

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Section: Modelmentioning

confidence: 99%

Section: Modelmentioning

confidence: 99%

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Cognitive decision unit applied to autonomous biped robot NAO

Deutsch

Muchitsch

Zeilinger

et al. 2011

2011 9th IEEE International Conference on Industrial Informatics

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“…Cases are represented by a collection of object classes.Predicate-based representation [23]: A predicate is a relation among objects, consisting of a condition part (IF) and an action part (THEN). This representational formalism is usually found in literature about fuzzy logic, neural network, and rough set theory.Semantic nets [24]: This representation method involves nodes and arcs that link nodes. Each node either represents an object or a concept and an arc represents the relation between nodes.Rules representation [25]: The rule-based representation usually adopts rules like IF-THEN and it is applicable in a relative simple domain.…”

Section: Introductionmentioning

confidence: 99%

“…Semantic nets [24]: This representation method involves nodes and arcs that link nodes. Each node either represents an object or a concept and an arc represents the relation between nodes.…”

Section: Introductionmentioning

confidence: 99%

An Associated Representation Method for Defining Agricultural Cases in a Case-Based Reasoning System for Fast Case Retrieval

Zhai

Ortega

Beltrán

et al. 2019

Sensors

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As an artificial intelligence technique, case-based reasoning has considerable potential to build intelligent systems for smart agriculture, providing farmers with advice about farming operation management. A proper case representation method plays a crucial role in case-based reasoning systems. Some methods like textual, attribute-value pair, and ontological representations have been well explored by researchers. However, these methods may lead to inefficient case retrieval when a large volume of data is stored in the case base. Thus, an associated representation method is proposed in this paper for fast case retrieval. Each case is interconnected with several similar and dissimilar ones. Once a new case is reported, its features are compared with historical data by similarity measurements for identifying a relative similar past case. The similarity of associated cases is measured preferentially, instead of comparing all the cases in the case base. Experiments on case retrieval were performed between the associated case representation and traditional methods, following two criteria: the number of visited cases and retrieval accuracy. The result demonstrates that our proposal enables fast case retrieval with promising accuracy by visiting fewer past cases. In conclusion, the associated case representation method outperforms traditional methods in the aspect of retrieval efficiency.

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Cognitive Decision Unit Applied to Autonomous Robots

Bruckner

Gelbard

2012

Communications in Computer and Information Science

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Bionically inspired information representation module

Cited by 8 publications

References 12 publications

Cognitive decision unit applied to autonomous biped robot NAO

Cognitive decision unit applied to autonomous biped robot NAO

An Associated Representation Method for Defining Agricultural Cases in a Case-Based Reasoning System for Fast Case Retrieval

Cognitive Decision Unit Applied to Autonomous Robots

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