A dynamical systems perspective on agent-environment interaction

Beer, Randall D.

doi:10.1016/0004-3702(94)00005-l

Cited by 605 publications

(335 citation statements)

References 27 publications

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“…We make no distinction here between perception, experience, and sensory input. In the tradition of modelling agent-environment systems using dynamical systems or their probabilistic generalisations as stochastic processes in PA-loops we define perception as all effects that the environment has on an individual/agent (Beer, 1995).…”

Section: Entity Perceptionmentioning

confidence: 99%

Action and perception for spatiotemporal patterns

Biehl¹,

Polani²

2017

Proceedings of the 14th European Conference on Artificial Life ECAL 2017

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This is a contribution to the formalization of the concept of agents in multivariate Markov chains. Agents are commonly defined as entities that act, perceive, and are goal-directed. In a multivariate Markov chain (e.g. a cellular automaton) the transition matrix completely determines the dynamics. This seems to contradict the possibility of acting entities within such a system. Here we present definitions of actions and perceptions within multivariate Markov chains based on entitysets. Entity-sets represent a largely independent choice of a set of spatiotemporal patterns that are considered as all the entities within the Markov chain. For example, the entityset can be chosen according to operational closure conditions or complete specific integration. Importantly, the perceptionaction loop also induces an entity-set and is a multivariate Markov chain. We then show that our definition of actions leads to non-heteronomy and that of perceptions specialize to the usual concept of perception in the perception-action loop.

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Section: Entity Perceptionmentioning

confidence: 99%

Action and perception for spatiotemporal patterns

Biehl¹,

Polani²

2017

Proceedings of the 14th European Conference on Artificial Life ECAL 2017

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“…This kind of automatic compensation has a biologically realistic flavor-think of how a cat automatically adopts a new three-legged gait when one leg is injured, or how a human being adapts to walking on an icy surface or with a sprained ankle. Yet, as Beer (1995b) points out, this kind of adaptation is not a result of individual learning as such-rather, the adaptation is inherent in the original dynamics of the system, and the new situation (damage, leg growth, or whatever) merely causes it to be displayed.…”

Section: Page 92mentioning

confidence: 99%

Being there: putting brain, body, and world together again

1997

Choice Reviews Online

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“…15– 27 . However, the specific field experimental paradigm related to skylight compass orientation leads to different kinds of information where an optimal, easy-to-handle tool and database has not yet been established.…”

Section: Introductionmentioning

confidence: 99%

Ant-App-DB: a smart solution for monitoring arthropods activities, experimental data management and solar calculations without GPS in behavioral field studies

et al. 2015

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Field studies on arthropod ecology and behaviour require simple and robust monitoring tools, preferably with direct access to an integrated database. We have developed and here present a database tool allowing smart-phone based monitoring of arthropods. This smart phone application provides an easy solution to collect, manage and process the data in the field which has been a very difficult task for field biologists using traditional methods. To monitor our example species, the desert ant Cataglyphis fortis, we considered behavior, nest search runs, feeding habits and path segmentations including detailed information on solar position and Azimuth calculation, ant orientation and time of day. For this we established a user friendly database system integrating the Ant-App-DB with a smart phone and tablet application, combining experimental data manipulation with data management and providing solar position and timing estimations without any GPS or GIS system. Moreover, the new desktop application Dataplus allows efficient data extraction and conversion from smart phone application to personal computers, for further ecological data analysis and sharing. All features, software code and database as well as Dataplus application are made available completely free of charge and sufficiently generic to be easily adapted to other field monitoring studies on arthropods or other migratory organisms. The software applications Ant-App-DB and Dataplus described here are developed using the Android SDK, Java, XML, C# and SQLite Database.

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A dynamical systems perspective on agent-environment interaction

Cited by 605 publications

References 27 publications

Action and perception for spatiotemporal patterns

Action and perception for spatiotemporal patterns

Being there: putting brain, body, and world together again

Ant-App-DB: a smart solution for monitoring arthropods activities, experimental data management and solar calculations without GPS in behavioral field studies

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