protected bool findNearestPercept(List <AgentPercept> percepts,
AgentPercept.LivingState livingType,
AgentPercept.PerceptType perceptType,
out AgentPercept nearest)
{
float targetDistance = float.MaxValue;
Vector2 targetPosition = Vector2.zero;
float tempDistance = 0.0f;
nearest = null;
for (int i = 0; i < percepts.Count; i++)
{
if (percepts[i].living == livingType && percepts[i].type == perceptType)
{
tempDistance = Vector2.Distance(percepts[i].locOne, _myself.Location);
if (tempDistance < targetDistance)
{
targetDistance = tempDistance;
targetPosition = percepts[i].locOne;
nearest = percepts[i];
}
}
}
if (nearest != null)
{
return(true);
}
if (percepts.Count > 0)
{
// prefer to if-and-assign than to allocate.
nearest = percepts[0];
return(false);
}
nearest = new AgentPercept();
return(false);
}
// private DPLL dpll = new OptimizedDPLL();
private void step(WumpusKnowledgeBase KB, AgentPercept percept, int t)
{
KB.tellTemporalPhysicsSentences(t);
KB.makePerceptSentence(percept, t);
}
protected bool findNearestAgent(List<AgentPercept> percepts, AgentPercept.LivingState livingType, out Agent foundAgent)
{
AgentPercept resultAgent;
bool result = findNearestPercept(percepts, livingType, AgentPercept.PerceptType.AGENT, out resultAgent);
if(result)
{
if(resultAgent.perceivedAgent != null)
{
foundAgent = resultAgent.perceivedAgent;
return true;
}
else
{
foundAgent = new Agent();
return false;
}
}
else
{
foundAgent = new Agent();
return false;
}
}
protected bool findNearestPercept(List<AgentPercept> percepts,
AgentPercept.LivingState livingType,
AgentPercept.PerceptType perceptType,
out AgentPercept nearest)
{
float targetDistance = float.MaxValue;
Vector2 targetPosition = Vector2.zero;
float tempDistance = 0.0f;
nearest = null;
for(int i=0; i<percepts.Count; i++)
{
if(percepts[i].living == livingType && percepts[i].type == perceptType)
{
tempDistance = Vector2.Distance(percepts[i].locOne, _myself.Location);
if( tempDistance < targetDistance)
{
targetDistance = tempDistance;
targetPosition = percepts[i].locOne;
nearest = percepts[i];
}
}
}
if(nearest != null)
{
return true;
}
if(percepts.Count > 0)
{
// prefer to if-and-assign than to allocate.
nearest = percepts[0];
return false;
}
nearest = new AgentPercept();
return false;
}
