Pogamut 3 Can Assist Developers in Building AI (Not Only) for Their Videogame Agents

Gemrot, Jakub; Kadlec, Rudolf; Bída, Michal; Burkert, Ondřej; Píbil, Radek; Havlíček, Jan; Zemčák, Lukáš; Šimlovič, Juraj; Vansa, Radim; Štolba, Michal; Plch, Tomáš; Brom, Cyril

doi:10.1007/978-3-642-11198-3_1

Cited by 70 publications

(42 citation statements)

References 9 publications

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“…There are (at least) three representative systems, with similar objectives to ours, against which we contrast what has been presented here: GameBots [1], Pogamut [22], and CIGA [41]. Gamebots [1] has much in common with the virtual agent component in our system, being a kind of programmable agent controller, integrated with the 3D video game Unreal Tournament (UT), in order to create autonomous bots that interact with human players as well as other bot players.…”

Section: Related Workmentioning

confidence: 99%

“…Pogamut [22] incorporates an interface layer between Unreal Tournament and the decision-making agent, by means of TCP/IP sockets. The role of this component is rather like that of the Jason agent in our system, in that it has the task of perceiving the environment, interaction with environment, and decision making, for which it uses the POSH reactive planner [11].…”

Section: Related Workmentioning

confidence: 99%

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Decoupling Cognitive Agents and Virtual Environments

Lee

Baines

Padget

2013

Cognitive Agents for Virtual Environments

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Abstract. The development of and accessibility to rich virtual environments, both for recreation and training activities leads to the use of intelligent agents to control avatars (and other entities) in these environments. There is a fundamental tension in such systems between tight integration, for performance and low coupling, for generality, flexibility and extensibility. This paper addresses the engineering issues in connecting agent platforms and other software entities with virtual environments, driven by the following informal requirements: (i) accessibility: we would like (easily) to be able to connect any (legacy) software component with the virtual environment (ii) performance: we want the benefits of decoupling, but not at a high price in performance (iii) distribution: we would like to be able to locate functionality where needed, when necessary, but also be location agnostic otherwise (iv) scalability: we would like to support large-scale and geographically dispersed virtual environments. We start from the position that the basic currency unit of such systems can be events. We describe the Bath Sensor Framework, which is a middleware that attempts to satisfy the above goals and to provide a low-latency linking mechanism between event producers and event consumers, while minimising the effect of coupling of components. We illustrate the framework in two complementary case studies using the Jason agent platform, Second Life and AGAVE (a 3D VE for vehicles). Through these examples, we are able to carry out a preliminary evaluation of the approach against the factors above, against alternative systems and demonstrate effective distributed execution.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Decoupling Cognitive Agents and Virtual Environments

Lee

Baines

Padget

2013

Cognitive Agents for Virtual Environments

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“…Importantly, the Unreal 2004 game engine includes an embedded scripting system that uses Unreal Script, an interpreted programming language that provides an API to the game engine. This scripting interface is used by higher-level wrappers such as GameBots2004 and Pogamut to allow external programs to control bot players and receive information about their state [23,24]. Unreal Script also allows the recording of detailed game traces from games played by humans and bots.…”

Section: Unreal Tournament 2004mentioning

confidence: 99%

“…The Pogamut framework is a Java library that uses GameBots2004 to provide the developer with a convenient API for accessing game and agent state and writing custom behaviors for Unreal Tournament 2004 bots [24]. In particular, the framework takes care of the details of updating agent's memory (state) information, wraps GameBots2004 messaging protocol in a Java API, and provides a class hierarchy for representing useful data structures for building bot behavior, including navigation graphs, inventory items, sensors, actions, and so on.…”

Section: The Gamebots2004 and Pogamut Interfacesmentioning

confidence: 99%

Believable Bot Navigation via Playback of Human Traces

2012

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Imitation is a powerful and pervasive primitive underlying examples of intelligent behavior in nature. Can we use it as a tool to help build artificial agents that behave like humans do? This question is studied in the context of the BotPrize competition, a Turing-like test where computer game bots compete by attempting to fool human judges into thinking they are just another human player. One problem faced by such bots is that of human-like navigation within the virtual world. This chapter describes the Human Trace Controller, a component of the UTˆ2 bot which took second place in the BotPrize 2010 competition. The controller uses a database of recorded human games in order to quickly retrieve and play back relevant segments of human navigation behavior. Empirical evidence suggests that the method of direct imitation allows the bot to effectively solve several navigation problems while moving in a human-like fashion.

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“…Pogamut as the authors describe it is a "Java middleware that enables controlling virtual agents in multiple environments provided by game engines" [2]. In other words Pogamut is a Java framework providing an API to control Agents (Bots) in virtual environments and in some cases the game server (virtual environment) itself.…”

Section: Pogamut 3 Platformmentioning

confidence: 99%

Interfacing Clojure with Pogamut 3 platform

Gołuński

Wasiewicz

2012

SPIE Proceedings

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In this paper we present an interface between Pogamut 3 platform and Clojure programming language. Clojure is a state of the art functional language with roots in Lisp. Pogamut 3 is a framework that simplifies creation of embodied agents. Our goal was to introduce Clojure code in our agents logic. Simple emergent behavior of a group of agents was implemented using Clojure code. Performance of execution of Clojure code called from Pogamut platform was measured.

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Pogamut 3 Can Assist Developers in Building AI (Not Only) for Their Videogame Agents

Cited by 70 publications

References 9 publications

Decoupling Cognitive Agents and Virtual Environments

Decoupling Cognitive Agents and Virtual Environments

Believable Bot Navigation via Playback of Human Traces

Interfacing Clojure with Pogamut 3 platform

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